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122,248 results on '"Weiner, A"'

151. Brain health registry updates: An online longitudinal neuroscience platform.

Author

Weiner, Michael, Aaronson, Anna, Eichenbaum, Joseph, Kwang, Winnie, Ashford, Miriam, Gummadi, Shilpa, Santhakumar, Jessica, Camacho, Monica, Flenniken, Derek, Fockler, Juliet, Truran-Sacrey, Diana, Ulbricht, Aaron, Mackin, R, and Nosheny, Rachel

Subjects
Alzheimers disease, Brain Health Registry, aging research, clinical trial recruitment, dementia, diversity, internet, internet registry, neuropsychological tests, neuroscience clinical research studies, online, remote assessment, remote biomarker collection, Humans, Aged, Patient Selection, Brain, Aging, Neuropsychological Tests, Registries, Alzheimer Disease
Abstract

INTRODUCTION: Remote, internet-based methods for recruitment, screening, and longitudinally assessing older adults have the potential to facilitate Alzheimers disease (AD) clinical trials and observational studies. METHODS: The Brain Health Registry (BHR) is an online registry that includes longitudinal assessments including self- and study partner-report questionnaires and neuropsychological tests. New initiatives aim to increase inclusion and engagement of commonly underincluded communities using digital, community-engaged research strategies. New features include multilingual support and biofluid collection capabilities. RESULTS: BHR includes > 100,000 participants. BHR has made over 259,000 referrals resulting in 25,997 participants enrolled in 30 aging and AD studies. In addition, 28,278 participants are coenrolled in BHR and other studies with data linkage among studies. Data have been shared with 28 investigators. Recent efforts have facilitated the enrollment and engagement of underincluded ethnocultural communities. DISCUSSION: The major advantages of the BHR approach are scalability and accessibility. Challenges include compliance, retention, cohort diversity, and generalizability. HIGHLIGHTS: Brain Health Registry (BHR) is an online, longitudinal platform of > 100,000 members. BHR made > 259,000 referrals, which enrolled 25,997 participants in 32 studies. New efforts increased enrollment and engagement of underincluded communities in BHR. The major advantages of the BHR approach are scalability and accessibility. BHR provides a unique adjunct for clinical neuroscience research.

Published
2023

152. Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Author

Jo, Taeho, Kim, Junpyo, Bice, Paula, Huynh, Kevin, Wang, Tingting, Arnold, Matthias, Meikle, Peter J, Giles, Corey, Kaddurah-Daouk, Rima, Saykin, Andrew J, Nho, Kwangsik, Kueider-Paisley, Alexandra, Doraiswamy, P Murali, Blach, Colette, Moseley, Arthur, Thompson, Will, St John-Williams, Lisa, Mahmoudiandehkhordi, Siamak, Tenenbaum, Jessica, Welsh-Balmer, Kathleen, Plassman, Brenda, Risacher, Shannon L, Kastenmüller, Gabi, Han, Xianlin, Baillie, Rebecca, Knight, Rob, Dorrestein, Pieter, Brewer, James, Mayer, Emeran, Labus, Jennifer, Baldi, Pierre, Gupta, Arpana, Fiehn, Oliver, Barupal, Dinesh, Meikle, Peter, Mazmanian, Sarkis, Rader, Dan, Kling, Mitchel, Shaw, Leslie, Trojanowski, John, van Duijin, Cornelia, Nevado-Holgado, Alejo, Bennett, David, Krishnan, Ranga, Keshavarzian, Ali, Vogt, Robin, Ikram, Arfan, Hankemeier, Thomas, Thiele, Ines, Price, Nathan, Funk, Cory, Baloni, Priyanka, Jia, Wei, Wishart, David, Brinton, Roberta, Chang, Rui, Farrer, Lindsay, Au, Rhoda, Qiu, Wendy, Würtz, Peter, Koal, Therese, Mangravite, Lara, Krumsiek, Jan, Suhre, Karsten, Newman, John, Moreno, Herman, Foroud, Tatania, Sacks, Frank, Jansson, Janet, Weiner, Michael W, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Morris, John C, Perrin, Richard J, Shaw, Leslie M, Khachaturian, Zaven, Carrillo, Maria, Potter, William, Barnes, Lisa, Bernard, Marie, Gonzalez, Hector, Ho, Carole, Hsiao, John K, Jackson, Jonathan, Masliah, Eliezer, Masterman, Donna, Okonkwo, Ozioma, Perrin, Richard, and Ryan, Laurie

Subjects
Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Neurosciences, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence, Dementia, Aging, Brain Disorders, Alzheimer's Disease, Neurodegenerative, Neurological, Humans, Aged, Magnetic Resonance Imaging, Deep Learning, Alzheimer Disease, Neuroimaging, Metabolome, Lipids, Cognitive Dysfunction, Alzheimer's Disease Metabolomics Consortium, Alzheimer's Disease Neuroimaging Initiative, Alzheimer's disease, Deep learning, Lipidomics, Machine learning, Metabolomics, Clinical Sciences, Public Health and Health Services, Clinical sciences, Epidemiology
Abstract

BackgroundDeep learning has shown potential in various scientific domains but faces challenges when applied to complex, high-dimensional multi-omics data. Alzheimer's Disease (AD) is a neurodegenerative disorder that lacks targeted therapeutic options. This study introduces the Circular-Sliding Window Association Test (c-SWAT) to improve the classification accuracy in predicting AD using serum-based metabolomics data, specifically lipidomics.MethodsThe c-SWAT methodology builds upon the existing Sliding Window Association Test (SWAT) and utilizes a three-step approach: feature correlation analysis, feature selection, and classification. Data from 997 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) served as the basis for model training and validation. Feature correlations were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA), and Convolutional Neural Networks (CNN) were employed for feature selection. Random Forest was used for the final classification.FindingsThe application of c-SWAT resulted in a classification accuracy of up to 80.8% and an AUC of 0.808 for distinguishing AD from cognitively normal older adults. This marks a 9.4% improvement in accuracy and a 0.169 increase in AUC compared to methods without c-SWAT. These results were statistically significant, with a p-value of 1.04 × 10ˆ-4. The approach also identified key lipids associated with AD, such as Cer(d16:1/22:0) and PI(37:6).InterpretationOur results indicate that c-SWAT is effective in improving classification accuracy and in identifying potential lipid biomarkers for AD. These identified lipids offer new avenues for understanding AD and warrant further investigation.FundingThe specific funding of this article is provided in the acknowledgements section.

Published
2023

153. Neuroanatomical and Functional Dissociations between Variably Present Anterior Lateral Prefrontal Sulci.

Author

Weiner, Kevin, Willbrand, Ethan, and Bunge, Silvia

Subjects
Young Adult, Humans, Brain Mapping, Magnetic Resonance Imaging, Cerebral Cortex, Prefrontal Cortex, Neuroimaging
Abstract

The lateral prefrontal cortex (LPFC) is an evolutionarily expanded region in humans that is critical for numerous complex functions, many of which are largely hominoid specific. Although recent work shows that the presence or absence of specific sulci in anterior LPFC is associated with cognitive performance across age groups, it is unknown whether the presence of these structures relates to individual differences in the functional organization of LPFC. To fill this gap in knowledge, we leveraged multimodal neuroimaging data from two samples encompassing 82 young adult humans (aged 22-36 years) and show that the dorsal and ventral components of the paraintermediate frontal sulcus, or pimfs, present distinct morphological (surface area), architectural (thickness and myelination), and functional (resting-state connectivity networks) properties. We further contextualize the pimfs components within classic and modern cortical parcellations. Taken together, the dorsal and ventral pimfs components mark transitions in LPFC anatomy and function, across metrics and parcellations. These results emphasize that the pimfs is a critical structure to consider when examining individual differences in the anatomical and functional organization of LPFC and suggest that future individual-level parcellations could benefit from incorporating sulcal anatomy when delineating LPFC cortical regions.

Published
2023

154. Detecting and Characterizing Mg ii Absorption in DESI Survey Validation Quasar Spectra

Author

Napolitano, Lucas, Pandey, Agnesh, Myers, Adam D, Lan, Ting-Wen, Anand, Abhijeet, Aguilar, Jessica, Ahlen, Steven, Alexander, David M, Brooks, David, Canning, Rebecca, Circosta, Chiara, De La Macorra, Axel, Doel, Peter, Eftekharzadeh, Sarah, Fawcett, Victoria A, Font-Ribera, Andreu, Garcia-Bellido, Juan, Gontcho, Satya Gontcho A, Le Guillou, L, Guy, Julien, Honscheid, Klaus, Juneau, Stephanie, Kisner, T, Landriau, Martin, Meisner, Aaron M, Miquel, Ramon, Moustakas, J, Percival, Will J, Prochaska, J Xavier, Schubnell, Michael, Tarlé, Gregory, Weaver, BA, Weiner, Benjamin, Zhou, Zhimin, Zou, Hu, and Zou, Siwei

Subjects
Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics
Abstract

We present findings of the detection of Magnesium II (Mg ii, λ = 2796, 2803 Å) absorbers from the early data release of the Dark Energy Spectroscopic Instrument (DESI). DESI is projected to obtain spectroscopy of approximately 3 million quasars (QSOs), of which over 99% are anticipated to be at redshifts greater than z > 0.3, such that DESI would be able to observe an associated or intervening Mg ii absorber illuminated by the background QSO. We have developed an autonomous supplementary spectral pipeline that detects these systems through an initial line-fitting process and then confirms the line properties using a Markov Chain Monte Carlo sampler. Based upon a visual inspection of the resulting systems, we estimate that this sample has a purity greater than 99%. We have also investigated the completeness of our sample in regard to both the signal-to-noise properties of the input spectra and the rest-frame equivalent width (W 0) of the absorber systems. From a parent catalog containing 83,207 quasars, we detect a total of 23,921 Mg ii absorption systems following a series of quality cuts. Extrapolating from this occurrence rate of 28.8% implies a catalog at the completion of the five-year DESI survey that will contain over eight hundred thousand Mg ii absorbers. The cataloging of these systems will enable significant further research because they carry information regarding circumgalactic medium environments, the distribution of intervening galaxies, and the growth of metallicity across the redshift range 0.3 ≤ z < 2.5.

Published
2023

155. Determinants of cognitive and brain resilience to tau pathology: a longitudinal analysis

Author

Bocancea, Diana I, Svenningsson, Anna L, van Loenhoud, Anna C, Groot, Colin, Barkhof, Frederik, Strandberg, Olof, Smith, Ruben, Weiner, Michael W, Aisen, Paul, Petersen, Ronald, Jack, Clifford R, Jagust, William, Trojanowki, John Q, Toga, Arthur W, Beckett, Laurel, Green, Robert C, Saykin, Andrew J, Morris, John C, Perrin, Richard J, Shaw, Leslie M, Khachaturian, Zaven, Carrillo, Maria, Potter, William, Barnes, Lisa, Bernard, Marie, González, Hector, Ho, Carole, Hsiao, John K, Jackson, Jonathan, Masliah, Eliezer, Masterman, Donna, Okonkwo, Ozioma, Ryan, Laurie, Silverberg, Nina, Fleisher, Adam, Sacrey, Diana Truran, Fockler, Juliet, Conti, Cat, Veitch, Dallas, Neuhaus, John, Jin, Chengshi, Nosheny, Rachel, Ashford, Miriam, Flenniken, Derek, Kormo, Adrienne, Montine, Tom, Conti, Cat B, Rafii, Michael, Raman, Rema, Jimenez, Gustavo, Donohue, Michael, Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah, Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Smith, Stephanie, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth, Harvey, Danielle, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Schwarz, Christopher, Jones, David, Gunter, Jeff, Kantarci, Kejal, Senjem, Matthew, Vemuri, Prashanthi, Reid, Robert, Fox, Nick C, Malone, Ian, Thompson, Paul, Thomopoulos, Sophia I, Nir, Talia M, Jahanshad, Neda, DeCarli, Charles, Knaack, Alexander, Fletcher, Evan, Tosun-Turgut, Duygu, Chen, Stephanie Rossi, Choe, Mark, and Crawfor, Karen

Subjects
Health Sciences, Dementia, Vascular Cognitive Impairment/Dementia, Biomedical Imaging, Aging, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Behavioral and Social Science, Alzheimer's Disease, Neurodegenerative, Cerebrovascular, Alzheimer's Disease Related Dementias (ADRD), Clinical Research, Brain Disorders, Neurosciences, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Mental health, Humans, Alzheimer Disease, Longitudinal Studies, tau Proteins, Cross-Sectional Studies, Cerebral Cortical Thinning, Positron-Emission Tomography, Brain, Cognition, Apolipoproteins E, Alzheimer's disease, tau, resilience, cognition, PET, MRI, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s disease, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

Mechanisms of resilience against tau pathology in individuals across the Alzheimer's disease spectrum are insufficiently understood. Longitudinal data are necessary to reveal which factors relate to preserved cognition (i.e. cognitive resilience) and brain structure (i.e. brain resilience) despite abundant tau pathology, and to clarify whether these associations are cross-sectional or longitudinal. We used a longitudinal study design to investigate the role of several demographic, biological and brain structural factors in yielding cognitive and brain resilience to tau pathology as measured with PET. In this multicentre study, we included 366 amyloid-β-positive individuals with mild cognitive impairment or Alzheimer's disease dementia with baseline 18F-flortaucipir-PET and longitudinal cognitive assessments. A subset (n = 200) additionally underwent longitudinal structural MRI. We used linear mixed-effects models with global cognition and cortical thickness as dependent variables to investigate determinants of cognitive resilience and brain resilience, respectively. Models assessed whether age, sex, years of education, APOE-ε4 status, intracranial volume (and cortical thickness for cognitive resilience models) modified the association of tau pathology with cognitive decline or cortical thinning. We found that the association between higher baseline tau-PET levels (quantified in a temporal meta-region of interest) and rate of cognitive decline (measured with repeated Mini-Mental State Examination) was adversely modified by older age (Stβinteraction = -0.062, P = 0.032), higher education level (Stβinteraction = -0.072, P = 0.011) and higher intracranial volume (Stβinteraction = -0.07, P = 0.016). Younger age, higher education and greater cortical thickness were associated with better cognitive performance at baseline. Greater cortical thickness was furthermore associated with slower cognitive decline independent of tau burden. Higher education also modified the negative impact of tau-PET on cortical thinning, while older age was associated with higher baseline cortical thickness and slower rate of cortical thinning independent of tau. Our analyses revealed no (cross-sectional or longitudinal) associations for sex and APOE-ε4 status on cognition and cortical thickness. In this longitudinal study of clinically impaired individuals with underlying Alzheimer's disease neuropathological changes, we identified education as the most robust determinant of both cognitive and brain resilience against tau pathology. The observed interaction with tau burden on cognitive decline suggests that education may be protective against cognitive decline and brain atrophy at lower levels of tau pathology, with a potential depletion of resilience resources with advancing pathology. Finally, we did not find major contributions of sex to brain nor cognitive resilience, suggesting that previous links between sex and resilience might be mainly driven by cross-sectional differences.

Published
2023

168. Evolutionary Agroecology: Individual fitness, population yield and resource availability in wheat

Author

Xiao-Wei Yang, Jacob Weiner, Jing-Wei Fan, Jie-Ying Ren, Wen-Yuan Luo, Feng-Min Li, and Yan-Lei Du

Subjects
Darwinian agriculture, Plant breeding, Population performance, Tragedy of the commons, Ecology, QH540-549.5
Abstract

Evolutionary Agroecology theory predicts that the relationship between population yield and individual fitness among genotypes of a crop species is unimodal, and experimental evidence supports this. We test the theory further by investigating the role of resource availability on this relationship by comparing growth and reproductive output of three old and three modern cultivars of wheat (Triticum aestivum) in mixture and monocultures grown at three resource levels. The relationship between population grain yield and individual fitness (mean individual grain yield in mixture) of genotypes was resource dependent in a way that is consistent with the theory: when resource levels are low and limit individual growth directly, individual and population yield are positively correlated. When resource levels are high and the growth of individual plants is limited by competition for these resources, the relationship between individual fitness and population yield becomes negative. There was evidence for the unimodal relationship at the intermediate resource level. Old cultivars had higher fitness than newer cultivars at all three resource levels. Old cultivars had higher yields at low resource levels, but the newer cultivars yielded more when resource levels were high. Evaluating individual fitness and population yield in different environments may help wheat breeders to develop locally adapted, cooperative cultivars to increase production across large wheat-producing areas.

Published
2024
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169. Risk-stratified treatment for drug-susceptible pulmonary tuberculosis

Author

Chang, Vincent K., Imperial, Marjorie Z., Phillips, Patrick P. J., Velásquez, Gustavo E., Nahid, Payam, Vernon, Andrew, Kurbatova, Ekaterina V., Swindells, Susan, Chaisson, Richard E., Dorman, Susan E., Johnson, John L., Weiner, Marc, Sizemore, Erin E., Whitworth, William, Carr, Wendy, Bryant, Kia E., Burton, Deron, Dooley, Kelly E., Engle, Melissa, Nsubuga, Pheona, Diacon, Andreas H., Nhung, Nguyen Viet, Dawson, Rodney, and Savic, Radojka M.

Published
2024
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170. Clinicians’ use of Health Information Exchange technologies for medication reconciliation in the U.S. Department of Veterans Affairs: a qualitative analysis

Author

Snyder, Margie E., Nguyen, Khoa A., Patel, Himalaya, Sanchez, Steven L., Traylor, Morgan, Robinson, Michelle J., Damush, Teresa M., Taber, Peter, Mixon, Amanda S., Fan, Vincent S., Savoy, April, Dismore, Rachel A., Porter, Brian W., Boockvar, Kenneth S., Haggstrom, David A., Locke, Emily R., Gibson, Bryan S., Byerly, Susan H., Weiner, Michael, and Russ-Jara, Alissa L.

Published
2024
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171. Digital communication between mothers and community health workers to support neonatal health (CHV-NEO): study protocol for a randomized controlled trial

Author

Ronen, Keshet, Pothan, Lincoln C., Apondi, Violet, Otieno, Felix A., Mwakanema, Daniel, Otieno, Felix O., Osborn, Lusi, Dettinger, Julia C., Shrestha, Priyanka, Manguerra, Helena, Mukumbang, Ferdinand, Masinde, Millicent, Waweru, Evelyn, Amulele, Mercy, Were, Christine, Wasunna, Beatrice, John-Stewart, Grace, Weiner, Bryan, Means, Arianna Rubin, Richardson, Barbra A., Hedstrom, Anna B., Unger, Jennifer A., and Kinuthia, John

Published
2024
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175. CYP1B1-RMDN2 Alzheimer’s disease endophenotype locus identified for cerebral tau PET

Author

Nho, Kwangsik, Risacher, Shannon L., Apostolova, Liana G., Bice, Paula J., Brosch, Jared R., Deardorff, Rachael, Faber, Kelley, Farlow, Martin R., Foroud, Tatiana, Gao, Sujuan, Rosewood, Thea, Kim, Jun Pyo, Nudelman, Kelly, Yu, Meichen, Aisen, Paul, Sperling, Reisa, Hooli, Basavaraj, Shcherbinin, Sergey, Svaldi, Diana, Jack, Jr., Clifford R., Jagust, William J., Landau, Susan, Vasanthakumar, Aparna, Waring, Jeffrey F., Doré, Vincent, Laws, Simon M., Masters, Colin L., Porter, Tenielle, Rowe, Christopher C., Villemagne, Victor L., Dumitrescu, Logan, Hohman, Timothy J., Libby, Julia B., Mormino, Elizabeth, Buckley, Rachel F., Johnson, Keith, Yang, Hyun-Sik, Petersen, Ronald C., Ramanan, Vijay K., Ertekin-Taner, Nilüfer, Vemuri, Prashanthi, Cohen, Ann D., Fan, Kang-Hsien, Kamboh, M. Ilyas, Lopez, Oscar L., Bennett, David A., Ali, Muhammad, Benzinger, Tammie, Cruchaga, Carlos, Hobbs, Diana, De Jager, Philip L., Fujita, Masashi, Jadhav, Vaishnavi, Lamb, Bruce T., Tsai, Andy P., Castanho, Isabel, Mill, Jonathan, Weiner, Michael W., and Saykin, Andrew J.

Published
2024
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181. Distributable, metabolic PET reporting of tuberculosis

Author

Khan, R. M. Naseer, Ahn, Yong-Mo, Marriner, Gwendolyn A., Via, Laura E., D’Hooge, Francois, Seo Lee, Seung, Yang, Nan, Basuli, Falguni, White, Alexander G., Tomko, Jaime A., Frye, L. James, Scanga, Charles A., Weiner, Danielle M., Sutphen, Michelle L., Schimel, Daniel M., Dayao, Emmanuel, Piazza, Michaela K., Gomez, Felipe, Dieckmann, William, Herscovitch, Peter, Mason, N. Scott, Swenson, Rolf, Kiesewetter, Dale O., Backus, Keriann M., Geng, Yiqun, Raj, Ritu, Anthony, Daniel C., Flynn, JoAnne L., Barry, III, Clifton E., and Davis, Benjamin G.

Published
2024
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183. AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis

Author

Abel, John, Jain, Suyog, Rajan, Deepta, Padigela, Harshith, Leidal, Kenneth, Prakash, Aaditya, Conway, Jake, Nercessian, Michael, Kirkup, Christian, Javed, Syed Ashar, Biju, Raymond, Harguindeguy, Natalia, Shenker, Daniel, Indorf, Nicholas, Sanghavi, Darpan, Egger, Robert, Trotter, Benjamin, Gerardin, Ylaine, Brosnan-Cashman, Jacqueline A., Dhoot, Aditya, Montalto, Michael C., Parmar, Chintan, Wapinski, Ilan, Khosla, Archit, Drage, Michael G., Yu, Limin, and Taylor-Weiner, Amaro

Published
2024
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186. Vascular endothelial-derived SPARCL1 exacerbates viral pneumonia through pro-inflammatory macrophage activation

Author

Zhao, Gan, Gentile, Maria E., Xue, Lulu, Cosgriff, Christopher V., Weiner, Aaron I., Adams-Tzivelekidis, Stephanie, Wong, Joanna, Li, Xinyuan, Kass-Gergi, Sara, Holcomb, Nicolas P., Basal, Maria C., Stewart, Kathleen M., Planer, Joseph D., Cantu, Edward, Christie, Jason D., Crespo, Maria M., Mitchell, Michael J., Meyer, Nuala J., and Vaughan, Andrew E.

Published
2024
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194. Association between SARS-CoV-2 infection and select symptoms and conditions 31 to 150 days after testing among children and adults

Author

Zhang, Yongkang, Romieu-Hernandez, Alfonso, Boehmer, Tegan K., Azziz-Baumgartner, Eduardo, Carton, Thomas W., Gundlapalli, Adi V., Fearrington, Julia, Nagavedu, Kshema, Dea, Katherine, Moyneur, Erick, Cowell, Lindsay G., Kaushal, Rainu, Mayer, Kenneth H., Puro, Jon, Rasmussen, Sonja A., Thacker, Deepika, Weiner, Mark G., Saydah, Sharon, and Block, Jason P.

Published
2024
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195. Implementation outcomes of the integrated district evidence to action (IDEAs) program to reduce neonatal mortality in central Mozambique: an application of the RE-AIM evaluation framework

Author

Dinis, Aneth, Fernandes, Quinhas, Wagenaar, Bradley H, Gimbel, Sarah, Weiner, Bryan J, John-Stewart, Grace, Birru, Ermyas, Gloyd, Stephen, Etzioni, Ruth, Uetela, Dorlim, Ramiro, Isaías, Gremu, Artur, Augusto, Orvalho, Tembe, Stélio, Mário, Jaime L, Chinai, Jalilo E, Covele, Alfredo F, Sáide, Cassimo M, Manaca, Nélia, and Sherr, Kenneth

Published
2024
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200. Single-cell mtDNA dynamics in tumors is driven by coregulation of nuclear and mitochondrial genomes

Author

Kim, Minsoo, Gorelick, Alexander N., Vàzquez-García, Ignacio, Williams, Marc J., Salehi, Sohrab, Shi, Hongyu, Weiner, Adam C., Ceglia, Nick, Funnell, Tyler, Park, Tricia, Boscenco, Sonia, O’Flanagan, Ciara H., Jiang, Hui, Grewal, Diljot, Tang, Cerise, Rusk, Nicole, Gammage, Payam A., McPherson, Andrew, Aparicio, Sam, Shah, Sohrab P., and Reznik, Ed

Published
2024
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