Search

Your search keyword '"Wong, Joshua"' showing total 1,243 results
Start Over Author "Wong, Joshua"
1,243 results on '"Wong, Joshua"'

1. A Comprehensive Survey of Foundation Models in Medicine

Author

Khan, Wasif, Leem, Seowung, See, Kyle B., Wong, Joshua K., Zhang, Shaoting, and Fang, Ruogu

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Foundation models (FMs) are large-scale deep-learning models trained on extensive datasets using self-supervised techniques. These models serve as a base for various downstream tasks, including healthcare. FMs have been adopted with great success across various domains within healthcare, including natural language processing (NLP), computer vision, graph learning, biology, and omics. Existing healthcare-based surveys have not yet included all of these domains. Therefore, this survey provides a comprehensive overview of FMs in healthcare. We focus on the history, learning strategies, flagship models, applications, and challenges of FMs. We explore how FMs such as the BERT and GPT families are reshaping various healthcare domains, including clinical large language models, medical image analysis, and omics data. Furthermore, we provide a detailed taxonomy of healthcare applications facilitated by FMs, such as clinical NLP, medical computer vision, graph learning, and other biology-related tasks. Despite the promising opportunities FMs provide, they also have several associated challenges, which are explained in detail. We also outline potential future directions to provide researchers and practitioners with insights into the potential and limitations of FMs in healthcare to advance their deployment and mitigate associated risks., Comment: 44 pages, and a more compact version is under review

Published
2024

2. Chronic intracranial recordings in the globus pallidus reveal circadian rhythms in Parkinsons disease.

Author

Cagle, Jackson, de Araujo, Tiberio, Johnson, Kara, Yu, John, Fanty, Lauren, Sarmento, Filipe, Okun, Michael, Wong, Joshua, de Hemptinne, Coralie, and Little, Simon

Subjects
Humans, Globus Pallidus, Parkinson Disease, Circadian Rhythm, Male, Female, Middle Aged, Retrospective Studies, Aged, Deep Brain Stimulation, Levodopa, Subthalamic Nucleus
Abstract

Circadian rhythms have been shown in the subthalamic nucleus (STN) in Parkinsons disease (PD), but only a few studies have focused on the globus pallidus internus (GPi). This retrospective study investigates GPi circadian rhythms in a large cohort of subjects with PD (130 recordings from 93 subjects) with GPi activity chronically recorded in their home environment. We found a significant change in GPi activity between daytime and nighttime in most subjects (82.4%), with a reduction in GPi activity at nighttime in 56.2% of recordings and an increase in activity in 26.2%. GPi activity in higher frequency bands ( > 20 Hz) was more likely to decrease at night and in patients taking extended-release levodopa medication. Our results suggest that circadian fluctuations in the GPi vary across individuals and that increased power at night might be due to the reemergence of pathological neural activity. These findings should be considered to ensure successful implementation of adaptive neurostimulation paradigms in the real-world.

Published
2024

5. Boundary Attention Mapping (BAM): Fine-grained saliency maps for segmentation of Burn Injuries

Author

Abdolahnejad, Mahla, Lee, Justin, Chan, Hannah, Morzycki, Alex, Ethier, Olivier, Mo, Anthea, Liu, Peter X., Wong, Joshua N., Hong, Colin, and Joshi, Rakesh

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Burn injuries can result from mechanisms such as thermal, chemical, and electrical insults. A prompt and accurate assessment of burns is essential for deciding definitive clinical treatments. Currently, the primary approach for burn assessments, via visual and tactile observations, is approximately 60%-80% accurate. The gold standard is biopsy and a close second would be non-invasive methods like Laser Doppler Imaging (LDI) assessments, which have up to 97% accuracy in predicting burn severity and the required healing time. In this paper, we introduce a machine learning pipeline for assessing burn severities and segmenting the regions of skin that are affected by burn. Segmenting 2D colour images of burns allows for the injured versus non-injured skin to be delineated, clearly marking the extent and boundaries of the localized burn/region-of-interest, even during remote monitoring of a burn patient. We trained a convolutional neural network (CNN) to classify four severities of burns. We built a saliency mapping method, Boundary Attention Mapping (BAM), that utilises this trained CNN for the purpose of accurately localizing and segmenting the burn regions from skin burn images. We demonstrated the effectiveness of our proposed pipeline through extensive experiments and evaluations using two datasets; 1) A larger skin burn image dataset consisting of 1684 skin burn images of four burn severities, 2) An LDI dataset that consists of a total of 184 skin burn images with their associated LDI scans. The CNN trained using the first dataset achieved an average F1-Score of 78% and micro/macro- average ROC of 85% in classifying the four burn severities. Moreover, a comparison between the BAM results and LDI results for measuring injury boundary showed that the segmentations generated by our method achieved 91.60% accuracy, 78.17% sensitivity, and 93.37% specificity.

Published
2023

8. Double blind, nonrandomized crossover study of active recharge biphasic deep brain stimulation for primary dystonia

Author

Wong, Joshua K, Lopes, Janine Melo Lobo Jofili, Hu, Wei, Wang, Anson, Au, Ka Loong Kelvin, Stiep, Tamara, Frey, Jessica, Toledo, Jon B, Raike, Robert S, Okun, Michael S, and Almeida, Leonardo

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Brain Disorders, Rare Diseases, Neurodegenerative, Assistive Technology, Bioengineering, Neurosciences, Clinical Trials and Supportive Activities, Dystonia, Clinical Research, Rehabilitation, Humans, Cross-Over Studies, Deep Brain Stimulation, Dystonic Disorders, Globus Pallidus, Pilot Projects, Treatment Outcome, Deep brain stimulation, Active recharge, Globus pallidus, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences, Biological psychology
Abstract

BackgroundDeep brain stimulation (DBS) of the globus pallidus interna (GPi) is an effective therapy for select patients with primary dystonia. DBS programming for dystonia is often challenging due to variable time to symptomatic improvement or stimulation induced side effects (SISE) such as capsular or optic tract activation which can prolong device optimization.ObjectiveTo characterize the safety and tolerability of active recharge biphasic DBS (bDBS) in primary dystonia and to compare it to conventional clinical DBS (clinDBS).MethodsTen subjects with primary dystonia and GPi DBS underwent a single center, double blind, nonrandomized crossover study comparing clinDBS versus bDBS. The testing occurred over two-days. bDBS and clinDBS were administered on separate days and each was activated for 6 h. Rating scales were collected by video recording and scored by four blinded movement disorders trained neurologists.ResultsThe bDBS paradigm was safe and well-tolerated in all ten subjects. There were no persistent SISE reported. The mean change in the Unified Dystonia Rating Scale after 4 h of stimulation was greater in bDBS when compared to clinDBS (-6.5 vs 0.3, p

Published
2023

9. Proceedings of the 10th annual deep brain stimulation think tank: Advances in cutting edge technologies, artificial intelligence, neuromodulation, neuroethics, interventional psychiatry, and women in neuromodulation

Author

Wong, Joshua K, Mayberg, Helen S, Wang, Doris D, Richardson, R Mark, Halpern, Casey H, Krinke, Lothar, Arlotti, Mattia, Rossi, Lorenzo, Priori, Alberto, Marceglia, Sara, Gilron, Ro’ee, Cavanagh, James F, Judy, Jack W, Miocinovic, Svjetlana, Devergnas, Annaelle D, Sillitoe, Roy V, Cernera, Stephanie, Oehrn, Carina R, Gunduz, Aysegul, Goodman, Wayne K, Petersen, Erika A, Bronte-Stewart, Helen, Raike, Robert S, Malekmohammadi, Mahsa, Greene, David, Heiden, Petra, Tan, Huiling, Volkmann, Jens, Voon, Valerie, Li, Luming, Sah, Pankaj, Coyne, Terry, Silburn, Peter A, Kubu, Cynthia S, Wexler, Anna, Chandler, Jennifer, Provenza, Nicole R, Heilbronner, Sarah R, San Luciano, Marta, Rozell, Christopher J, Fox, Michael D, de Hemptinne, Coralie, Henderson, Jaimie M, Sheth, Sameer A, and Okun, Michael S

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Bioengineering, Neurosciences, Assistive Technology, Depression, Rehabilitation, Mental Health, Mental health, deep brain stimulation, artificial intelligence, neuroethics, Parkinson's disease, dystonia, interventional psychiatry, adaptive DBS, epilepsy, Parkinson’s disease, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

The deep brain stimulation (DBS) Think Tank X was held on August 17-19, 2022 in Orlando FL. The session organizers and moderators were all women with the theme women in neuromodulation. Dr. Helen Mayberg from Mt. Sinai, NY was the keynote speaker. She discussed milestones and her experiences in developing depression DBS. The DBS Think Tank was founded in 2012 and provides an open platform where clinicians, engineers and researchers (from industry and academia) can freely discuss current and emerging DBS technologies as well as the logistical and ethical issues facing the field. The consensus among the DBS Think Tank X speakers was that DBS has continued to expand in scope however several indications have reached the "trough of disillusionment." DBS for depression was considered as "re-emerging" and approaching a slope of enlightenment. DBS for depression will soon re-enter clinical trials. The group estimated that globally more than 244,000 DBS devices have been implanted for neurological and neuropsychiatric disorders. This year's meeting was focused on advances in the following areas: neuromodulation in Europe, Asia, and Australia; cutting-edge technologies, closed loop DBS, DBS tele-health, neuroethics, lesion therapy, interventional psychiatry, and adaptive DBS.

Published
2023

10. Comprehending the allergen repertoire of shrimp for precision molecular diagnosis of shrimp allergy.

Author

Wai, Christine, Leung, Nicki, Leung, Agnes, Ngai, Sai, Pacharn, Punchama, Yau, Yat, Rosa Duque, Jaime, Kwan, Mike, Jirapongsananuruk, Orathai, Chan, Wai, Chua, Gilbert, Lee, Qun, Piboonpocanun, Surapon, Ho, Po, Wong, Joshua, Li, Shanshan, Xu, Kary, Wong, Gary, Chu, Ka, Leung, Patrick, Vichyanond, Pakit, and Leung, Ting

Subjects
DBPCFC, allergen profiling, component-resolved diagnosis, shellfish allergy, tropomyosin, Allergens, Fatty Acid-Binding Proteins, Food Hypersensitivity, Humans, Hypersensitivity, Immunoglobulin E, Tropomyosin, Troponin C
Abstract

BACKGROUND: Clinical management of shrimp allergy is hampered by the lack of accurate tests. Molecular diagnosis has been shown to more accurately reflect the clinical reactivity but the full spectrum of shrimp allergens and their clinical relevance are yet to be established. We therefore sought to comprehend the allergen repertoire of shrimp, investigate and compare the sensitization pattern and diagnostic value of the allergens in allergic subjects of two distinct populations. METHODS: Sera were collected from 85 subjects with challenge-proven or doctor-diagnosed shrimp allergy in Hong Kong and Thailand. The IgE-binding proteins of Penaeus monodon were probed by Western blotting and identified by mass spectrometry. Recombinant shrimp allergens were synthesized and analyzed for IgE sensitization by ELISA. RESULTS: Ten IgE-binding proteins were identified, and a comprehensive panel of 11 recombinant shrimp allergens was generated. The major shrimp allergens among Hong Kong subjects were troponin C (Pen m 6) and glycogen phosphorylase (Pen m 14, 47.1%), tropomyosin (Pen m 1, 41.2%) and sarcoplasmic-calcium binding protein (Pen m 4, 35.3%), while those among Thai subjects were Pen m 1 (68.8%), Pen m 6 (50.0%) and fatty acid-binding protein (Pen m 13, 37.5%). Component-based tests yielded significantly higher area under curve values (0.77-0.96) than shrimp extract-IgE test (0.70-0.75). Yet the best component test differed between populations; Pen m 1-IgE test added diagnostic value only in the Thai cohort, whereas sensitizations to other components were better predictors of shrimp allergy in Hong Kong patients. CONCLUSION: Pen m 14 was identified as a novel shrimp allergen predictive of challenge outcome. Molecular diagnosis better predicts shrimp allergy than conventional tests, but the relevant component is population dependent.

Published
2022

15. Relation Extraction from Tables using Artificially Generated Metadata

Author

Singh, Gaurav, Singh, Siffi, Wong, Joshua, and Saffari, Amir

Subjects
Computer Science - Computation and Language, Computer Science - Information Retrieval
Abstract

Relation Extraction (RE) from tables is the task of identifying relations between pairs of columns of a table. Generally, RE models for this task require labelled tables for training. These labelled tables can also be generated artificially from a Knowledge Graph (KG), which makes the cost to acquire them much lower in comparison to manual annotations. However, unlike real tables, these synthetic tables lack associated metadata, such as, column-headers, captions, etc; this is because synthetic tables are created out of KGs that do not store such metadata. Meanwhile, previous works have shown that metadata is important for accurate RE from tables. To address this issue, we propose methods to artificially create some of this metadata for synthetic tables. Afterward, we experiment with a BERT-based model, in line with recently published works, that takes as input a combination of proposed artificial metadata and table content. Our empirical results show that this leads to an improvement of 9\%-45\% in F1 score, in absolute terms, over 2 tabular datasets.

Published
2021

19. Proceedings of the Ninth Annual Deep Brain Stimulation Think Tank: Advances in Cutting Edge Technologies, Artificial Intelligence, Neuromodulation, Neuroethics, Pain, Interventional Psychiatry, Epilepsy, and Traumatic Brain Injury.

Author

Wong, Joshua K, Deuschl, Günther, Wolke, Robin, Bergman, Hagai, Muthuraman, Muthuraman, Groppa, Sergiu, Sheth, Sameer A, Bronte-Stewart, Helen M, Wilkins, Kevin B, Petrucci, Matthew N, Lambert, Emilia, Kehnemouyi, Yasmine, Starr, Philip A, Little, Simon, Anso, Juan, Gilron, Ro'ee, Poree, Lawrence, Kalamangalam, Giridhar P, Worrell, Gregory A, Miller, Kai J, Schiff, Nicholas D, Butson, Christopher R, Henderson, Jaimie M, Judy, Jack W, Ramirez-Zamora, Adolfo, Foote, Kelly D, Silburn, Peter A, Li, Luming, Oyama, Genko, Kamo, Hikaru, Sekimoto, Satoko, Hattori, Nobutaka, Giordano, James J, DiEuliis, Diane, Shook, John R, Doughtery, Darin D, Widge, Alik S, Mayberg, Helen S, Cha, Jungho, Choi, Kisueng, Heisig, Stephen, Obatusin, Mosadolu, Opri, Enrico, Kaufman, Scott B, Shirvalkar, Prasad, Rozell, Christopher J, Alagapan, Sankaraleengam, Raike, Robert S, Bokil, Hemant, Green, David, and Okun, Michael S

Subjects
adaptive DBS, artificial intelligence, deep brain stimulation, epilepsy, interventional psychiatry, neuroethics, pain, traumatic brain injury, Rehabilitation, Epilepsy, Neurodegenerative, Assistive Technology, Bioengineering, Brain Disorders, Neurosciences, Neurological, Psychology, Cognitive Sciences, Experimental Psychology
Abstract

DBS Think Tank IX was held on August 25-27, 2021 in Orlando FL with US based participants largely in person and overseas participants joining by video conferencing technology. The DBS Think Tank was founded in 2012 and provides an open platform where clinicians, engineers and researchers (from industry and academia) can freely discuss current and emerging deep brain stimulation (DBS) technologies as well as the logistical and ethical issues facing the field. The consensus among the DBS Think Tank IX speakers was that DBS expanded in its scope and has been applied to multiple brain disorders in an effort to modulate neural circuitry. After collectively sharing our experiences, it was estimated that globally more than 230,000 DBS devices have been implanted for neurological and neuropsychiatric disorders. As such, this year's meeting was focused on advances in the following areas: neuromodulation in Europe, Asia and Australia; cutting-edge technologies, neuroethics, interventional psychiatry, adaptive DBS, neuromodulation for pain, network neuromodulation for epilepsy and neuromodulation for traumatic brain injury.

Published
2022

20. Real-World Sensitization and Tolerance Pattern to Seafood in Fish-Allergic Individuals

Author

Leung, Agnes S.Y., Wai, Christine Y.Y., Leung, Nicki Y.H., Ngai, Noelle Anne, Chua, Gilbert T., Ho, Po Ki, Lam, Ivan C.S., Cheng, James W.C.H., Chan, Oi Man, Li, Pui Fung, Au, Ann W.S., Leung, Chloris H.W., Cheng, Nam Sze, Tang, Man Fung, Fong, Brian L.Y., Rosa Duque, Jaime S., Wong, Joshua S.C., Luk, David C.K., Ho, Marco H.K., Kwan, Mike Y.W., Yau, Yat Sun, Lee, Qun Ui, Chan, Wai Hung, Wong, Gary W.K., and Leung, Ting Fan

Published
2024
Full Text
View/download PDF

22. Prevalence of Previous Dengue Virus Infection Among Children and Adolescents Aged 7-16 Years--American Samoa, September-October 2023

Author

Kiplagat, Sandra, Tavale, Noelle, Konrote, Adam, Johansson, Astrid M., Papu, Angelynn, Perez-Padilla, Janice, Jones, Forrest K., Desale, Hans, Ilimaleota, Annette F., Tulafono, Jacki M., Delorey, Mark, Jones, Emma, Chutaro, Emi, Camacho, Janet, Medina, Freddy, Tosado-Acevedo, Rafael, Munoz-Jordan, Jorge L., Paz-Bailey, Gabriela, Adams, Laura E., Nua, Motusa Tuileama, Wong, Joshua M., and Anesi, Scott

Subjects
Infection, Disease transmission, Dengue viruses, Virus diseases, Health
Abstract

Dengue is a vectorborne disease caused by four dengue viruses (DENVs) and is transmitted through the bite of infected Aedes species mosquitoes. Dengue transmission in American Samoa is classified as [...]

Published
2024

23. Cell-Based Functional IgE Assays Are Superior to Conventional Allergy Tests for Shrimp Allergy Diagnosis

Author

Wai, Christine YY, Leung, Nicki YH, Leung, Agnes SY, Shum, Yuki, Leung, Patrick SC, Chu, Ka Hou, Kwan, Yat Wah, Lee, Qun Ui, Wong, Joshua SC, Lam, Ivan CS, Li, Pui Fung, Xu, Kary JY, Lam, Cheuk Yin, Sun, Jinlyu, Wong, Gary WK, and Leung, Ting Fan

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Foodborne Illness, Food Allergies, Clinical Research, Inflammatory and immune system, Allergens, Animals, Food Hypersensitivity, Humans, Immunoglobulin E, Skin Tests, Tropomyosin, Shrimp allergy, Basophil activation test, IgE crosslinking-induced luciferase expression test, DBPCFC, CD63, CCR3, IgE crosslinking–induced luciferase expression test, Immunology
Abstract

BackgroundThe diagnosis of shellfish allergy currently relies on patient history, skin prick test (SPT), and serum specific IgE (sIgE) quantification. These methods lack sufficient diagnostic accuracy, whereas the gold standard of oral food challenges is risky and burdensome. Markers of reactivity and severity of allergic reactions to shellfish will improve clinical care of these patients.ObjectivesThis study compared the diagnostic performance of SPT, sIgE, basophil activation test (BAT), and IgE crosslinking-induced luciferase expression (EXiLE) test for shrimp allergy.MethodsThirty-five subjects with documented history of shrimp allergic reactions were recruited and grouped according to results of double-blind, placebo-controlled food challenge (DBPCFC). In addition to routine diagnostics, BAT (Flow CAST) and EXiLE test with shrimp extract and tropomyosin were performed.ResultsOf 35 subjects, 15 were shrimp allergic with pruritus, urticaria, and itchy mouth on DBPCFC, whereas 20 were tolerant to shrimp. Tropomyosin only accounted for 53.3% of sensitization among subjects with challenge-proven shrimp allergy. BAT using shrimp extract as stimulant showed the highest area under curve value (0.88), Youden Index (0.81), likelihood ratio (14.73), odds ratio (104), and variable importance (4.27) when compared with other assays and tropomyosin diagnosis. Results of BAT significantly correlated with those of EXiLE (r = 0.664, P < .0001).ConclusionsBAT is a more accurate diagnostic marker for shrimp allergy than SPT and shrimp sIgE, whereas the EXiLE test based on an IgE crosslinking assay is a good alternative to BAT. Tropomyosin may not be the most important shrimp allergen in Chinese, which warrants further investigation to search for other major allergens and diagnostic markers.

Published
2021

24. Corrigendum: Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies.

Author

Vedam-Mai, Vinata, Deisseroth, Karl, Giordano, James, Lazaro-Munoz, Gabriel, Chiong, Winston, Suthana, Nanthia, Langevin, Jean-Philippe, Gill, Jay, Goodman, Wayne, Provenza, Nicole R, Halpern, Casey H, Shivacharan, Rajat S, Cunningham, Tricia N, Sheth, Sameer A, Pouratian, Nader, Scangos, Katherine W, Mayberg, Helen S, Horn, Andreas, Johnson, Kara A, Butson, Christopher R, Gilron, Ro'ee, de Hemptinne, Coralie, Wilt, Robert, Yaroshinsky, Maria, Little, Simon, Starr, Philip, Worrell, Greg, Shirvalkar, Prasad, Chang, Edward, Volkmann, Jens, Muthuraman, Muthuraman, Groppa, Sergiu, Kühn, Andrea A, Li, Luming, Johnson, Matthew, Otto, Kevin J, Raike, Robert, Goetz, Steve, Wu, Chengyuan, Silburn, Peter, Cheeran, Binith, Pathak, Yagna J, Malekmohammadi, Mahsa, Gunduz, Aysegul, Wong, Joshua K, Cernera, Stephanie, Hu, Wei, Wagle Shukla, Aparna, Ramirez-Zamora, Adolfo, Deeb, Wissam, Patterson, Addie, Foote, Kelly D, and Okun, Michael S

Subjects
DBS, adaptive DBS, neuroethics, neuroimaging, novel hardware, optogenetics, Assistive Technology, Bioengineering, Depression, Mental Health, Brain Disorders, Rehabilitation, Neurosciences, Psychology, Cognitive Sciences, Experimental Psychology
Abstract

[This corrects the article DOI: 10.3389/fnhum.2021.644593.].

Published
2021

25. Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies.

Author

Vedam-Mai, Vinata, Deisseroth, Karl, Giordano, James, Lazaro-Munoz, Gabriel, Chiong, Winston, Suthana, Nanthia, Langevin, Jean-Philippe, Gill, Jay, Goodman, Wayne, Provenza, Nicole R, Halpern, Casey H, Shivacharan, Rajat S, Cunningham, Tricia N, Sheth, Sameer A, Pouratian, Nader, Scangos, Katherine W, Mayberg, Helen S, Horn, Andreas, Johnson, Kara A, Butson, Christopher R, Gilron, Ro'ee, de Hemptinne, Coralie, Wilt, Robert, Yaroshinsky, Maria, Little, Simon, Starr, Philip, Worrell, Greg, Shirvalkar, Prasad, Chang, Edward, Volkmann, Jens, Muthuraman, Muthuraman, Groppa, Sergiu, Kühn, Andrea A, Li, Luming, Johnson, Matthew, Otto, Kevin J, Raike, Robert, Goetz, Steve, Wu, Chengyuan, Silburn, Peter, Cheeran, Binith, Pathak, Yagna J, Malekmohammadi, Mahsa, Gunduz, Aysegul, Wong, Joshua K, Cernera, Stephanie, Hu, Wei, Wagle Shukla, Aparna, Ramirez-Zamora, Adolfo, Deeb, Wissam, Patterson, Addie, Foote, Kelly D, and Okun, Michael S

Subjects
DBS, adaptive DBS, neuroethics, neuroimaging, novel hardware, optogenetics, Depression, Bioengineering, Mental Health, Neurosciences, Rehabilitation, Brain Disorders, Assistive Technology, Neurological, Psychology, Cognitive Sciences, Experimental Psychology
Abstract

We estimate that 208,000 deep brain stimulation (DBS) devices have been implanted to address neurological and neuropsychiatric disorders worldwide. DBS Think Tank presenters pooled data and determined that DBS expanded in its scope and has been applied to multiple brain disorders in an effort to modulate neural circuitry. The DBS Think Tank was founded in 2012 providing a space where clinicians, engineers, researchers from industry and academia discuss current and emerging DBS technologies and logistical and ethical issues facing the field. The emphasis is on cutting edge research and collaboration aimed to advance the DBS field. The Eighth Annual DBS Think Tank was held virtually on September 1 and 2, 2020 (Zoom Video Communications) due to restrictions related to the COVID-19 pandemic. The meeting focused on advances in: (1) optogenetics as a tool for comprehending neurobiology of diseases and on optogenetically-inspired DBS, (2) cutting edge of emerging DBS technologies, (3) ethical issues affecting DBS research and access to care, (4) neuromodulatory approaches for depression, (5) advancing novel hardware, software and imaging methodologies, (6) use of neurophysiological signals in adaptive neurostimulation, and (7) use of more advanced technologies to improve DBS clinical outcomes. There were 178 attendees who participated in a DBS Think Tank survey, which revealed the expansion of DBS into several indications such as obesity, post-traumatic stress disorder, addiction and Alzheimer's disease. This proceedings summarizes the advances discussed at the Eighth Annual DBS Think Tank.

Published
2021

26. Understanding the effects of being separated from family on refugees in Australia: a qualitative study

Author

Liddell, Belinda J., Batch, Nicole, Hellyer, Sarah, Bulnes?Diez, Marta, Kamte, Anjali, Klassen, Christina, Wong, Joshua, Byrow, Yulisha, and Nickerson, Angela

Subjects
Refugees -- Social aspects -- Psychological aspects, Separation (Psychology) -- Social aspects, Health
Abstract

: Objective: To understand the impact of family separation on refugees living in Australia. Method: Thirteen participants with a refugee background and experiencing separation from family participated in a semi‐structured qualitative interview. Interviews were coded and a thematic analysis was conducted using NVivo software. Results: Identified themes were organised under four domains. Domain 1 focused on the personal impact of family separation. Themes were the effects on mental health and functioning, driven by incessant worrying about the safety of family and the absence of key attachment figures, the specific effects of having missing family, alterations to self‐identity and family dynamics. Domain 2 focused on themes relating to actions taken to find missing family, connect or reunite with separated family. Domain 3 highlighted the coping strategies, support mechanisms and protective factors used by participants. Domain 4 identified core beliefs about the importance of family unity, focusing on security, settlement and a happy future. Conclusions: Family separation has an enduring effect on the wellbeing of refugees, with key pathways being ongoing fear and insecurity, disrupted social attachments and identity shifts in relation to the future self. Implications for public health: Refugees separated from or missing family struggle with ongoing stress and adjustment issues., Family separation (i.e. living in different countries and unable to physically reunite) is commonplace amongst people forcibly displaced from their homes due to conflict, war or persecution.[sup.1-4] Long‐term separation may [...]

Published
2022
Full Text
View/download PDF

29. Differential patterns of fish sensitization in Asian populations: Implication for precision diagnosis

Author

Wai, Christine Y.Y., Leung, Nicki Y.H., Leung, Agnes S.Y., Fusayasu, Naoko, Sato, Sakura, Xu, Kary J.Y., Yau, Yat Sun, Rosa Duque, Jaime S., Kwan, Mike Y.W., Cheng, James W.C.H., Chan, Wai Hung, Chua, Gilbert T., Lee, Qun Ui, Luk, David C.K., Ho, Po Ki, Wong, Joshua S.C., Lam, Ivan C.S., Wong, Gary W.K., Ebisawa, Motohiro, and Leung, Ting Fan

Published
2023
Full Text
View/download PDF

30. Immunoglobulin, glucocorticoid, or combination therapy for multisystem inflammatory syndrome in children: a propensity-weighted cohort study

Author

Chouli, Mohamed, Hamadouche, Nacera, Ladj, Mohamed Samir, Agrimbau Vázquez, Jorge, Carmona, Rodrigo, Collia, Adrian Gustavo, Ellis, Alejandro, Natta, Diego, Pérez, Laura, Rubiños, Mayra, Veliz, Natalia, Yori, Silvana, Britton, Philip N., Burgner, David P., Carey, Emma, Crawford, Nigel W., Giuliano, Hayley, McMinn, Alissa, Wong, Shirley, Wood, Nicholas, Holter, Wolfgang, Krainz, Matthias, Ulreich, Raphael, Zurl, Christoph, Dehoorne, Joke, Haerynck, Filomeen, Hoste, Levi, Schelstraete, Petra, Vandekerckhove, Kristof, Willems, Jef, Almeida Farias, Camila Giuliana, Almeida, Flávia Jacqueline, Alves Leal, Izabel, Araujo da Silva, André Ricardo, Araujo e Silva, Anna Esther, Barreiro, Sabrina T.A., Bomfim Prado da Silva, Daniella Gregória, Cervi, Maria Celia, dos Santos Naja Cardoso, Mirian Viviane, Henriques Teixeira, Cristiane, Jarovsky, Daniel, Martins Araujo, Julienne, Naaman Berezin, Eitan, Palazzi Sáfadi, Marco Aurélio, Paternina-de la Ossa, Rolando Andres, Souza Vieira, Cristina, Dimitrova, Anna, Ganeva, Margarita, Stefanov, Stefan, Telcharova-Mihaylovska, Albena, Biggs, Catherine M., Lopez, Alison, Scuccimarri, Rosie, Tan, Ryan, Wasserman, Sam, Withington, Davinia, Ampuero, Camila, Aravena, Javiera, Bustos B, Raul, Casanova, Daniel, Cruces, Pablo, Diaz, Franco, García-Salum, Tamara, Godoy, Loreto, Medina, Rafael A., Valenzuela Galaz, Gonzalo, Camacho-Moreno, Germán, Avila-Aguero, María L., Brenes-Chacón, Helena, Camacho-Badilla, Kattia, Ivankovich-Escoto, Gabriela, Naranjo-Zuniga, Gabriela, Soriano-Fallas, Alejandra, Ulloa-Gutierrez, Rolando, Yock-Corrales, Adriana, Amer, Maysa Abbas, Abdelmeguid, Yasmine, Ahmed, Yomna H.H.Z., Badib, Adham, Badreldin, Karim, Elkhashab, Yara, Heshmat, Hassan, Hussein, Amna, Mohamed Hussein, Amna Hussein, Ibrahim, Sandra, Shoman, Walaa, Yakout, Radwa M, Heinonen, Santtu, Angoulvant, François, Belot, Alexandre, Ouldali, Naïm, Beske, Florian, Heep, Axel, Masjosthusmann, Katja, Reiter, Karl, van den Heuvel, Ingeborg, von Both, Ulrich, Agrafiotou, Aikaterini, Antachopoulos, Charalampos, Charisi, Konstantina, Eleftheriou, Irini, Farmaki, Evangelia, Fotis, Lampros, Kafetzis, Dimitrios, Koletsi, Patra, Kourtesi, Katerina, Lampidi, Stavroula, Liakopoulou, Theodota, Maritsi, Despoina, Michailidou, Elisa, Milioudi, Maria, Mparmpounaki, Ioanna, Papadimitriou, Eleni, Papaevangelou, Vassiliki, Roilides, Emmanuel, Tsiatsiou, Olga, Tsolas, Georgios, Tsolia, Maria, Vantsi, Petrina, Banegas Pineda, Linda Yajeira, Borjas Aguilar, Karla Leversia, Cantillano Quintero, Edwin Mauricio, Ip, Patrick, Kwan, Mike Yat Wah, Kwok, Janette, Lau, Yu Lung, To, Kelvin, Wong, Joshua Sung Chih, David, Mate, Farkas, David, Kalcakosz, Szofia, Szekeres, Klaudia, Zsigmond, Borbala, Aslam, Nadeem, Luder, Anthony, Andreozzi, Laura, Bianco, Francesco, Bucciarelli, Valentina, Buonsenso, Danilo, Cimaz, Rolando, De Luca, Maia, Dellepiane, Rosa Maria, Fabi, Marianna, Filice, Emanuele, Lanari, Marcello, Lo Vecchio, Andrea, Mastrolia, Maria Vincenza, Mauro, Angela, Mazza, Angelo, Papa, Mario Virgilio, Romani, Lorenza, Scarano, Sara Maria, Simonini, Gabriele, Tipo, Vincenzo, Verdoni, Lucio, Macharia, Anne-Marie, Musiime, Grace, Reel, Bhupi, Wangai, Frederick, Pace, David, Torpiano, Paul, Anaya-Enriquez, Nancy, Carreon-Guerrero, Juan Manuel, Chacon-Cruz, Enrique, Cheung López, Mariana, Faugier Fuentes, Enrique, Fonseca Flores, Marisol, García-Domínguez, Miguel, Giron Vargas, Ana Luisa, Lopez-Delgado, Ivan, Lopez Hernández, Liliana, Menchaca Aguayo, Hector F., Montaño-Duron, Jesus Gilberto, Pérez-Gaxiola, Giordano, Ramos Tiñini, Pamela, Tostado-Morales, Edgardo, Valadez, Julio, Inchley, Christopher, Klevberg, Sjur, Knudsen, Per Kristian, Måseide, Per Helge, Carrera, Jose Manuel, Castaño, Elizabeth, Daza Timana, Carlos Alberto, De Leon, Tirza, Estripeaut, Dora, Levy, Jacqueline, Norero, Ximena, Record, Javier, Rojas-Bonilla, Magda, Wong, Mayra, Iramain, Ricardo, Hernandez, Roger, Huamán, Gian, Munaico, Manuel, Peralta, Carlos, Seminario, Diego, Zapata Yarlequé, Elmer Hans, Gadzinska, Justyna, Ludwikowska, Kamila, Mandziuk, Joanna, Okarska-Napierała, Magdalena, Alacheva, Zalina A., Alexeeva, Ekaterina, Ananin, Petr V., Antsupova, Margarita, Bakradze, Maya D., Berbenyuk, Anna, Bobkova, Polina, Borzakova, Svetlana, Chashchina, Irina L., El-Taravi, Yasmin, Fisenko, Andrey P., Gautier, Marina S., Glazyrina, Anastasia, Gorlenko, Cyrill, Grosheva, Mariia, Kiselev, Herman, Kondrikova, Elena, Korobyants, Evgeniya, Korsunskiy, Anatoliy A., Kovygina, Karina, Krasnaya, Ekaterina, Kurbanova, Seda, Kurdup, Maria K., Mamutova, Anna V., Mazankova, Lyudmila, Mitushin, Ilya L., Munblit, Daniel, Nargizyan, Anzhelika, Orlova, Yanina O., Osmanov, Ismail M., Polyakova, Anastasia S., Pushkareva, Anna, Romanova, Olga, Samitova, Elmira, Shvedova, Anastasia, Sologub, Anna, Iakovleva, Ekaterina, Tepaev, Rustem F., Tkacheva, Anna A., Yegiyan, Margarita, Yusupova, Valeriya, Zholobova, Elena, Grasa, Carlos Daniel, Epalza, Cristina, Lopez Segura, Nuria, Martinon-Torres, Federico, Melendo, Susana, Mendez-Echevarria, Ana, Mesa Guzmán, Juan Miguel, Palacios Argueta, Jorge Roberto, Rivero-Calle, Irene, Rivière, Jacques, Rodríguez-González, Moisés, Rojo, Pablo, Sanchez Manubens, Judith, Soler-Palacin, Pere, Soriano-Arandes, Antoni, Tagarro, Alfredo, Villaverde, Serena, Altman, Maria, Brodin, Petter, Horne, AnnaCarin, Palmblad, Karin, Brotschi, Barbara, Meyer Sauteur, Patrick, Pachlopnik Schmid, Jana, Prader, Seraina, Relly, Christa, Schlapbach, Luregn J., Seiler, Michelle, Strasser, Sophie, Trück, Johannes, Weber, Kathrin, Wütz, Daniela, Hamdan, Alaa, Melhem, Ibrahim, Moussa, Ahmed, Dunk, Joke, Ketharanathan, Naomi, Vermont, Clementien, Akyüz Özkan, Esra, Cetin, Benhur Sirvan, Erdeniz, Emine Hafize, Şahin, Irfan Oğuz, Borisova, Galina, Boyarchuk, Oksana, Boychenko, Lidiya, Boyko, Yaryna, Diudenko, Nadiia, Dyvonyak, Olha, Kasiyan, Olexandr, Katerynych, Kostiantyn, Kostyuchenko, Larysa, Mamenko, Marina, Melnyk, Kateryna, Miagka, Nelia, Nazarenko, Liliya, Nezgoda, Iryna, Rykova, Stanislava, Svyst, Olga, Teslenko, Maria, Trykosh, Mykola, Vasilenko, Nataliya, Volokha, Alla, Adams, Charlotte, Akomolafe, Toju, Al-Abadi, Eslam, Alders, Nele, Alifieraki, Styliani, Ansumanu, Hareef, Aston, Emily, Avram, Paula, Bamford, Alasdair, Banks, Millie, Basu Roy, Robin, Beattie, Thomas, Boleti, Olga, Bracken, Abbey, Broad, Jonathan, Cai, James, Carrol, Enitan D., Carter, Michael, Chandran, Anchit, Charlesworth, James, Chawla, Jaya, Cooper, Hannah, Cooray, Samantha, Davies, Patrick, Davis, Francesca, Drysdale, Simon B., Dzora, Ella, Emonts, Marieke, Evans, Ceri, Fidler, Katy, Foster, Caroline, Gong, Chen, Gongrun, Berin, Gonzalez, Carmen, Gorgun, Berin, Grandjean, Louis, Grant, Karlie, Guo, Jonathan, Hacohen, Yael, Hall, Jack, Hamid, Hytham K.S., Hassell, Jane, Hesketh, Christine, Hewlett, Jessica, Hnieno, Ahmad, Holt-Davis, Hannah, Hossain, Aleena, Hu, Shiying, Hudson, Lee D., Jheeta, Sharon, Johnson, Mae, Johnson, Sarah, Jyothish, Deepthi, Kampmann, Beate, Kavirayani, Akhila, Kelly, Deborah, Kirubakaran, Arangan, Kucera, Filip, Langer, Daniel, Lawson, George, Lees, Emily A, Lenihan, Rebecca, Lillie, Jon, Longbottom, Katherine, Lyall, Hermione, Mackdermott, Niamh, Maltby, Sarah, Mclelland, Thomas, McMahon, Anne-Marie, Miller, Danielle, Miranda, Mariana, Mirza, Luwaiza, Morrison, Zoe, Moshal, Karyn, Muller, Jennifer, Musuka, Phoebe, Myttaraki, Evangelia, Nadel, Simon, Nair, Sreedevi, Nuttall, Luke, Oremakinde, Oyinkansola, Osaghae, Daniella, Osman, Fatima, Ostrzewska, Anna, Paccagnella, Davide, Panthula, Mrinalini, Papachatzi, Eleni, Papadopoulou, Charalampia, Patel, Fahim, Patel, Harsita, Payne, Helen, Penner, Justin, Polandi, Shervin, Prendergast, Andrew J., Ramnarayan, Padmanabhan, Ranasinghe, Lasith, Ravichandran, Muthukumaran, Rhys-Evans, Sophie, Riordan, Andrew, Rodrigues, Charlene M.C., Roe, Lauren, Romaine, Sam, Schobi, Nina, Seddon, James, Shingadia, Delane, Sikdar, Oishi, Srivastava, Anand, Struik, Siske, Sun, Thomas, Tan, Rachel Wei, Taylor, Alice, Taylor, Amanda, Taylor, Andrew, Tran, Steven, Tsagkaris, Stavros, Tudor-Williams, Gareth, van den Berg, Sarah, van der Velden, Fabian, Ventilacion, Lyn, Wellman, Paul A., Withers Green, Joseph, Yanney, Michael P., Yeung, Shunmay, Badheka, Aditya, Badran, Sarah, Bailey, Dwight M., Burch, Anna Kathryn, Burns, Jane C., Cichon, Catherine, Cirks, Blake, Dallman, Michael D., Delany, Dennis R., Fairchok, Mary, Friedman, Samantha, Geracht, Jennifer, Langs-Barlow, Allison, Mann, Kelly, Padhye, Amruta, Quade, Alexis, Ramirez, Kacy Alyne, Rockett, John, Sayed, Imran Ali, Santos, Roberto P., Shahin, Amr A., Tremoulet, Adriana, Umaru, Samuel, Widener, Rebecca, Mujuru, Hilda Angela, Kandawasvika, Gwendoline, Channon-Wells, Samuel, Vito, Ortensia, McArdle, Andrew J, Seaby, Eleanor G, Shah, Priyen, Pazukhina, Ekaterina, Wilson, Clare, Broderick, Claire, D'Souza, Giselle, Keren, Ilana, Nijman, Ruud G, Carter, Michael J, De, Tisham, Hoggart, Clive, Whittaker, Elizabeth, Herberg, Jethro A, Kaforou, Myrsini, Cunnington, Aubrey J, Blyuss, Oleg, and Levin, Michael

Published
2023
Full Text
View/download PDF

31. Proceedings of the Seventh Annual Deep Brain Stimulation Think Tank: Advances in Neurophysiology, Adaptive DBS, Virtual Reality, Neuroethics and Technology

Author

Ramirez-Zamora, Adolfo, Giordano, James, Gunduz, Aysegul, Alcantara, Jose, Cagle, Jackson N, Cernera, Stephanie, Difuntorum, Parker, Eisinger, Robert S, Gomez, Julieth, Long, Sarah, Parks, Brandon, Wong, Joshua K, Chiu, Shannon, Patel, Bhavana, Grill, Warren M, Walker, Harrison C, Little, Simon J, Gilron, Ro’ee, Tinkhauser, Gerd, Thevathasan, Wesley, Sinclair, Nicholas C, Lozano, Andres M, Foltynie, Thomas, Fasano, Alfonso, Sheth, Sameer A, Scangos, Katherine, Sanger, Terence D, Miller, Jonathan, Brumback, Audrey C, Rajasethupathy, Priya, McIntyre, Cameron, Schlachter, Leslie, Suthana, Nanthia, Kubu, Cynthia, Sankary, Lauren R, Herrera-Ferrá, Karen, Goetz, Steven, Cheeran, Binith, Steinke, G Karl, Hess, Christopher, Almeida, Leonardo, Deeb, Wissam, Foote, Kelly D, and Okun, Michael S

Subjects
Neurosciences, Rehabilitation, Bioengineering, Assistive Technology, deep brain stimulation, stereoelectroencephalography, depression, Parkinson's disease, tremor, optogenetics, local field potentials, neuroethics, Parkinson’s disease, Psychology, Cognitive Sciences, Experimental Psychology
Abstract

The Seventh Annual Deep Brain Stimulation (DBS) Think Tank held on September 8th of 2019 addressed the most current: (1) use and utility of complex neurophysiological signals for development of adaptive neurostimulation to improve clinical outcomes; (2) Advancements in recent neuromodulation techniques to treat neuropsychiatric disorders; (3) New developments in optogenetics and DBS; (4) The use of augmented Virtual reality (VR) and neuromodulation; (5) commercially available technologies; and (6) ethical issues arising in and from research and use of DBS. These advances serve as both "markers of progress" and challenges and opportunities for ongoing address, engagement, and deliberation as we move to improve the functional capabilities and translational value of DBS. It is in this light that these proceedings are presented to inform the field and initiate ongoing discourse. As consistent with the intent, and spirit of this, and prior DBS Think Tanks, the overarching goal is to continue to develop multidisciplinary collaborations to rapidly advance the field and ultimately improve patient outcomes.

Published
2020

32. Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures

Author

Lim, Jing, Wong, Joshua, Wong, Minn Xuan, Tan, Lee Han Eric, Chieu, Hai Leong, Choo, Davin, and Neo, Neng Kai Nigel

Subjects
Physics - Chemical Physics, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Chemical structure elucidation is a serious bottleneck in analytical chemistry today. We address the problem of identifying an unknown chemical threat given its mass spectrum and its chemical formula, a task which might take well trained chemists several days to complete. Given a chemical formula, there could be over a million possible candidate structures. We take a data driven approach to rank these structures by using neural networks to predict the presence of substructures given the mass spectrum, and matching these substructures to the candidate structures. Empirically, we evaluate our approach on a data set of chemical agents built for unknown chemical threat identification. We show that our substructure classifiers can attain over 90% micro F1-score, and we can find the correct structure among the top 20 candidates in 88% and 71% of test cases for two compound classes.

Published
2018

40. Sentinel Enhanced Dengue Surveillance System — Puerto Rico, 2012–2022

Author

Madewell, Zachary J., primary, Hernandez-Romieu, Alfonso C., additional, Wong, Joshua M., additional, Zambrano, Laura D., additional, Volkman, Hannah R., additional, Perez-Padilla, Janice, additional, Rodriguez, Dania M., additional, Lorenzi, Olga, additional, Espinet, Carla, additional, Munoz-Jordan, Jorge, additional, Frasqueri-Quintana, Verónica M., additional, Rivera-Amill, Vanessa, additional, Alvarado-Domenech, Luisa I., additional, Sainz, Diego, additional, Bertran, Jorge, additional, Paz-Bailey, Gabriela, additional, and Adams, Laura E., additional

Published
2024
Full Text
View/download PDF

47. Perceptions of dengue risk and acceptability of a dengue vaccine in residents of Puerto Rico

Author

Rosado-Santiago, Coral, primary, Pérez-Guerra, Carmen L., additional, Vélez-Agosto, Nicole M., additional, Colón-Burgos, Claudia, additional, Marrero-Santos, Karla M., additional, Partridge, Susanna K., additional, Lockwood, Amy E., additional, Young, Cathy, additional, Waterman, Steve H., additional, Paz-Bailey, Gabriela, additional, Cardona-Gerena, Iris, additional, Rivera, Angel, additional, Adams, Laura E., additional, and Wong, Joshua M., additional

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results