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Klein et al. use mobility data to forecast COVID-19 admissions for five Massachusetts hospitals. Combining aggregated mobile device data about users’ contact patterns, commuting volume, and mobility range with COVID hospitalizations and test-positivity data increases the lead-time of accurate predictions for individual hospitals.

Abstract The extracellular matrix (ECM) constitutes the main acellular microenvironment of cells in almost all tissues and organs. The ECM not only provides mechanical support, but also mediates numerous biochemical interactions to guide cell survival, proliferation, differentiation, and migration. Thus, better understanding the everchanging temporal and spatial shifts in ECM composition and structure – the ECM dynamics – will provide fundamental insight regarding extracellular regulation of tissue homeostasis and how tissue states transition from one to another during diverse pathophysiological processes. This review outlines the mechanisms mediating ECM-cell interactions and highlights how changes in the ECM modulate tissue development and disease progression, using the lung as the primary model organ. We then discuss existing methodologies for revealing ECM compositional dynamics, with a particular focus on tracking newly synthesized ECM proteins. Finally, we discuss the ramifications ECM dynamics have on tissue engineering and how to implement spatial and temporal specific extracellular microenvironments into bioengineered tissues. Overall, this review communicates the current capabilities for studying native ECM dynamics and delineates new research directions in discovering and implementing ECM dynamics to push the frontier forward.

Objective:. To determine the accuracy of a predictive model for inpatient occupancy that was implemented at a large New England hospital to aid hospital recovery planning from the COVID-19 surge. Background:. During recovery from COVID surges, hospitals must plan for multiple patient populations vying for inpatient capacity, so that they maintain access for emergency department (ED) patients while enabling time-sensitive scheduled procedures to go forward. To guide pandemic recovery planning, we implemented a model to predict hospital occupancy for COVID and non-COVID patients. Methods:. At a quaternary care hospital in New England, we included hospitalizations from March 10 to July 12, 2020 and subdivided them into COVID, non-COVID nonscheduled (NCNS), and non-COVID scheduled operating room (OR) hospitalizations. For the recovery period from May 25 to July 12, the model made daily hospital occupancy predictions for each population. The primary outcome was the daily mean absolute percentage error (MAPE) and mean absolute error (MAE) when comparing the predicted versus actual occupancy. Results:. There were 444 COVID, 5637 NCNS, and 1218 non-COVID scheduled OR hospitalizations during the recovery period. For all populations, the MAPE and MAE for total occupancy were 2.8% or 22.3 hospitalizations per day; for general care, 2.6% or 17.8 hospitalizations per day; and for intensive care unit, 9.7% or 11.0 hospitalizations per day. Conclusions:. The model was accurate in predicting hospital occupancy during the recovery period. Such models may aid hospital recovery planning so that enough capacity is maintained to care for ED hospitalizations while ensuring scheduled procedures can efficiently return.

Abstract The aim of this study is to investigate the association between alcohol consumption and the risk of bacterial infection and its dose–response association. Participants in the Swedish Mammography Cohort and Cohort of Swedish Men answered lifestyle questionnaires in 1997 and have since been followed in national registers. The risks of acquiring infection, intensive care unit (ICU) admission and dying due to infection were assessed with Cox regression. Among 58,078 cohort participants followed for 23 years, 23,035 participants were diagnosed with an infection and 4,030 died from infection. Alcohol consumption exhibited a J-shaped association with the risk of acquiring infection and dying due to infection: compared to consuming 5–10 g of alcohol per day, consuming 30 g/day were both associated with higher risk of acquiring infection, ICU admission and dying due to infection, whereas alcohol consumption between 5 and 30 g/day was not associated with acquiring infection, ICU admission or death due to infection. In conclusion, moderate alcohol consumption was not associated with infection, but both very low and high levels of consumption were associated with acquiring infection, ICU admission and death. If replicated, this suggests that reduction of alcohol consumption might reduce mortality from bacterial infections.

Abstract Mast cells develop from the myeloid lineage and are released from the bone marrow as immature cells, which then differentiate at the destination tissue based on cues from the local environment. In the liver, mast cells are recruited in diseased states to fibrogenic surroundings rich in TGF-β1. The aim of this study was to investigate TGF-β1 signaling in primary and permanent mast cells to identify common and unique mechanisms. The TGF-β receptor repertoire is similar among mast cells, with high expression of type I and type II receptors and very low expression of type III receptors (Betaglycan and Endoglin). Downstream, TGF-β1 activates the SMAD2/3 signaling axis and also SMAD1/5 with target genes Smad6 and Id1 in a transient manner. Initially, TGF-β1 upregulates the transcription of mucosal mast cell effectors Mcpt1 and Mcpt2 in all analyzed mast cells. This upregulation is reduced in the presence of IL-3, which promotes proliferation. Inhibition of ERK1/2 activation reduces proliferation and mitigates the negative effect of IL-3 on Mcpt1 mRNA and protein expression in the immortalized mast cell line PMC-306 but not in bone marrow-derived mast cells. Therefore, extracellular signal-regulated kinases ERK1/2 are identified as a mutual switch between IL-3-driven proliferation and TGF-β1-promoted mucosal mast cell differentiation in PMC-306. In conclusion, TGF-β1 promotes a mucosal gene signature and inhibits proliferation in mast cells, with these effects being counter-regulated by IL-3/ERK1/2. Graphical Abstract

A fast simulation approach for focused electron beam induced deposition (FEBID) numerically solves the diffusion–reaction equation (continuum model) of the precursor surface on the growing nanostructure in conjunction with a Monte Carlo simulation for electron transport in the growing deposit. An important requirement in this regard is to have access to a methodology that can be used to systematically determine the values for the set of precursor parameters needed for this model. In this work we introduce such a method to derive the precursor sticking coefficient as one member of the precursor parameter set. The method is based on the analysis of the different growth regimes in FEBID, in particular the diffusion-enhanced growth regime in the center region of an intentionally defocused electron beam. We employ the method to determine the precursor sticking coefficient for bis(benzene)chromium, Cr(C6H6)2, and trimethyl(methylcyclopentadienyl)platinum(IV), Me3CpPtMe, and find a value of about 10−2 for both precursors, which is substantially smaller than the sticking coefficients previously assumed for Me3CpPtMe (1.0). Furthermore, depositions performed at different substrate temperatures indicate a temperature dependence of the sticking coefficient.

Fibre mechanical recycling is an efficient strategy to turn non-reusable post-consumer textiles into new textile products with a minimal environmental impact. It helps reduce the need for primary raw materials and prevents the incineration or landfill disposal of textile waste. To foster textile circularity, it is essential to use these recycled fibres as secondary raw materials for textiles. The focus of our study was, therefore, to create quality yarns for making knitted fabrics for long-lasting garments. In this study, mechanically recycled post-consumer cotton and linen were ring-spun into yarns. Recycled cotton (rCO) was blended with virgin cotton (CO) in ratios of 30/70, 50/50, and 70/30, and with virgin viscose (CV) at a 50/50 ratio. Recycled linen (rLI) was blended with virgin viscose in ratios of 30/70 and 50/50. The yarn appearance, breaking tenacity, and elongation were evaluated and compared to virgin viscose and cotton yarns. The knitting performance of rCO/CO 50/50 yarn and reference 100 CO yarn was assessed by knitting different knit structures and pattern designs using a flatbed knitting machine. Additionally, the abrasion resistance of the two yarns knitted into single jersey fabric was tested using the Martindale method, and the samples were inspected using scanning electron microscopy. Increasing recycled cotton and linen content in ring-spun yarns decreased yarn strength and increased the uneven appearance. In addition, the rCO/CO jersey fabric showed higher wear under abrasion than the reference 100 CO fabric. The knit structure and pattern design had a central influence on knittability and fabric appearance when using yarn containing recycled fibres. Therefore, these factors should be considered to promote the use of recycled fibres for creating long-lasting textile products.

Abstract Introduction Post-stroke spasticity (PSS) occurs in ~25–43% of patients between 2 weeks and 3 months following a stroke. This retrospective claims study examined the occurrence of spasticity, treatment patterns, healthcare resource utilization, and healthcare costs among patients who experienced a stroke over a 2-year period. Methods Analyses were conducted using healthcare claims from the IQVIA PharMetrics Plus database of commercially/self-insured members from 2015 to 2021. Patients were selected based on two International Classification of Diseases, 10th revision diagnosis codes for stroke requiring an inpatient stay (index date) with continuous enrollment with medical/pharmacy benefits 12 months before (pre-index) and 24 months starting on the index date (post-index). PSS was defined by a diagnosis code for spastic hemiplegia or muscle contracture starting ≥ 7 days post-index, or claims indicating PSS treatment [botulinum toxin A (BoNT-A) or muscle relaxants] any time in the post-index period. A generalized linear model was developed to estimate cost ratios between patients with and without PSS. Results Overall, 7851 patients fulfilled study criteria; 47.7% were treated with physical or occupational therapy, 11.3% with muscle relaxants, and 0.8% with BoNT-A; 12.4% met the post-index definition of PSS; 84.2% were identified using muscle relaxant or BoNT-A codes, 6.6% using diagnosis codes, and 9.2% using both. Median time to codes identifying PSS was 213 days. Patients treated with BoNT-A received an average of three treatments, starting 253 days (median) post-stroke. Mean all-cause healthcare costs were US$62,875 among patients with PSS versus $44,472 among patients without (P

Abstract Background The aim of this study was to develop and psychometrically evaluate a parent-rated parenting assessment scale including positive and negative dimensions of parenting. Factorial validity, reliability, measurement invariance, latent mean differences and construct validity of the Assessment Scale of Positive and Negative Parenting Behavior (FPNE) were tested in a pooled sample of five studies of 1,879 school-aged children (6.00 to 12.11 years). Methods Exploratory factor analysis (EFA) was performed on a first randomized split-half sample, and confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were conducted in the second half of the sample. Measurement invariance tests were conducted to assess factor structure equivalence across gender and age. Results The EFA results supported a two-factor structure and the CFA results revealed a model with two correlated factors (Positive Parenting, Negative Parenting), which included 23 items and showed acceptable model fit and good psychometric properties. ESEM did not yield a model with significantly better model fit. Internal consistencies were acceptable. Adequate concurrent validity was demonstrated by low to moderate correlations between the FPNE and similar constructs. The factor structure was invariant (configural, metric, scalar) across different age groups and gender. Tests of latent mean differences revealed that older children scored significantly higher on negative parenting than younger children, while boys showed lower levels of positive parenting and higher levels of negative parenting compared to girls. All effect sizes were small. Conclusions The results suggest that the FPNE is a reliable and valid instrument for the assessment of parenting.

Abstract The long-term consequences of cancer and its therapy on the patients’ immune system years after cancer-free survival remain poorly understood. Here, we present an in-depth characterization of the bone marrow immune ecosystem of multiple myeloma long-term survivors, from initial diagnosis up to 17 years following a single therapy line and cancer-free survival. Using comparative single-cell analyses combined with molecular, genomic, and functional approaches, we demonstrate that multiple myeloma long-term survivors exhibit pronounced alterations in their bone marrow microenvironment associated with impaired immunity. These immunological alterations were frequently linked to an inflammatory immune circuit fueled by the long-term persistence or resurgence of residual myeloma cells. Notably, even in the complete absence of any detectable residual disease for decades, sustained changes in the immune system were observed, suggesting an irreversible ‘immunological scarring’ caused by the initial exposure to the cancer and therapy. Collectively, our study provides key insights into the molecular and cellular bone marrow ecosystem of long-term survivors of multiple myeloma, revealing both reversible and irreversible alterations in the immune compartment.

Abstract Background Covid-19 healthcare worker testing, isolation and quarantine policies had to balance risks to patients from the virus and from staff absence. The emergence of the Omicron variant led to dangerous levels of key-worker absence globally. We evaluated whether using two manufacturers’ lateral flow tests (LFTs) concurrently improved SARS-CoV-2 Omicron detection significantly and was acceptable to hospital staff. In a nested study, to understand risks of return to work after a 5-day isolation/quarantine period, we examined virus culture 5–7 days after positive test or significant exposure. Methods Fully-vaccinated Liverpool (UK) University Hospitals staff participated (February-May 2022) in a random-order, open-label trial testing whether dual LFTs improved SARS-CoV-2 detection, and whether dual swabbing was acceptable to users. Participants used nose-throat swab Innova and nose-only swab Orient Gene LFTs in daily randomised order for 10 days. A user-experience questionnaire was administered on exit. Selected participants gave swabs for viral culture on days 5–7 after symptom onset or first positive test. Cultures were considered positive if cytopathic effect was apparent or SARS-CoV-2 N gene sub-genomic RNA was detected. Results Two hundred and twenty-six individuals reported 1466 pairs of LFT results. Tests disagreed in 127 cases (8.7%). Orient Gene was more likely (78 cf. 49; OR: 2.1, 1.1–4.1; P = 0.03) to be positive. If Innova was swabbed second, it was less likely to agree with a positive Orient Gene result (OR: 2.7, 1.3–5.2; P = 0.005); swabbing first with Innova made no significant difference (OR: 1.1, 0.5–2.3; P = 0.85). Orient Gene positive Innova negative result-pairs became more frequent over time (OR: 1.2, 1.1–1.3; P

Abstract Background Preclinical studies indicate that the systemic application of C1-inhibitor, clinically used to treat hereditary angioedema, reduces secondary brain injury after ischemic stroke. This study assessed the effect of C1-inhibitor on secondary brain injury after hemorrhagic stroke. Methods We used an established striatal whole-blood injection mouse model to mimic intracerebral hemorrhage-related secondary brain injury. Based on the spatiotemporal dynamics in our model, we calculated the necessary sample size (n = 24) and determined the most sensitive time point to detect potential group differences (48 h) prior to the experiments. The experimental setup, tissue processing and image analysis adhered to our published protocol. We randomized mice into three groups: C1-inhibitor treatment, placebo, and sham. Histology was standardized by taking eight anatomically predefined slices across the entire lesion. Lesion size, vascular leakage, and inflammatory responses were assessed using automated thresholding and dextran/ICAM1/CD45 intensity mapping. Investigators were blinded to group allocation during the experiment, tissue processing, and image analysis. Results Whole blood injection resulted in significantly larger lesion size and more pronounced vascular leakage and cellular inflammation compared to the sham group. However, there was no difference in lesion size or inflammatory markers between the C1-inhibitor and placebo groups. In addition, there was no difference in the inflammatory response of the choroid plexus, which has been identified as a central organ orchestrating inflammation after intracerebral hemorrhage. Conclusion The protective effect of C1-inhibitor might be isolated to pathophysiological processes with a predominant thromboinflammatory component, as in ischemia-reperfusion, but less so in permanent ischemia or intracerebral hemorrhage.

We identified a novel human circovirus in an immunocompromised 66-year-old woman with sudden onset of self-limiting hepatitis. We detected human circovirus 1 (HCirV-1) transcripts in hepatocytes and the HCirV-1 genome long-term in the patient’s blood, stool, and urine. HCirV-1 is an emerging human pathogen that persists in susceptible patients.

Abstract Background Chronic pain is reported by between 30 and 71% of people with haemophilia (PWH). Exercise is shown to be effective for pain management in other arthritides, but it remains unclear if such an approach is effective or acceptable to PWH. The aim of this study was to evaluate the feasibility and acceptability of a telerehabilitation exercise intervention for PWH living with chronic pain. Methods This was a multisite, non-randomised, pre-post feasibility design, with a nested qualitative study. People with severe haemophilia > 18 years, living with chronic pain, were recruited. The intervention comprised 12 low-impact/moderate intensity, individualised exercise sessions and 3 knowledge-sharing and discussion sessions. Primary objectives assessed according to predefined progression criteria were as follows: (a) recruitment rate (5 participants enrolled per site over 8 weeks), (b) adherence (≥ 75% participants would adhere to ≥ 75% of sessions), (c) follow-up rate (≥ 75% completion of self-reported measures), (d) fidelity (intervention delivered as described in protocol) and (e) safety (≤ 30% participants would report adverse events). Acceptability was evaluated from thematic analysis of post-intervention participant interviews. Preliminary evaluation of self-reported pain, function and quality of life (QoL) was a secondary objective. Results were reported using descriptive statistics integrated with qualitative findings. Results Ten PWH were recruited and completed the intervention. Nine agreed to be interviewed post intervention. Attendance at individual sessions was 84.5% compared to 52.1% for the group sessions. Outcome measures were successfully completed for 100% at baseline, 70% at intervention end and 60% at 3-month follow-up. No serious adverse events were recorded. Group median values in outcome measures (pain, function, QoL) showed minimal change post intervention. Participant interviews highlighted high levels of enjoyment, confidence in continuing exercises independently and positive views of virtual delivery and condition-specific exercise. Conclusions Recruitment rate and safety met the predefined progression criteria. Fidelity partially met the progression criteria, but the follow-up rate for self-reported measures did not. The study was acceptable to both participants and physiotherapists. Further intervention development is needed to review approaches to outcome measure collection and refine the usefulness of the knowledge-sharing sessions. Trial registration The study was prospectively registered on 9 July 2021: International Standard Randomised Controlled Trial Number ISRCTN 17454597.

Abstract Age-related cataracts is a highly prevalent eye disorder that results in the clouding of the crystalline lens and is one of the leading causes of visual impairment and blindness. The disease is influenced by multiple factors including genetics, prolonged exposure to ultraviolet radiation, and a history of diabetes. However, the extent to which each of these factors contributes to the development of cataracts remains unclear. Our study identified 101 independent genome-wide significant loci, 57 of which are novel. We identified multiple genes and biological pathways associated with the cataracts, including four drug-gene interactions. Our results suggest a causal association between type 1 diabetes and cataracts. Also, we highlighted a surrogate measure of UV light exposure as a marker of cataract risk in adults.

Abstract The role of adaptive immunity in long-term outcomes in early breast cancer is increasingly recognised. Standard (neo)adjuvant chemotherapy can have adverse effects on immune cells. We conducted a retrospective longitudinal study of full blood counts (FBC) of 200 patients receiving (neo)adjuvant chemotherapy for early breast cancer at a single institution. FBC results at four time points from pre-treatment to 12 months post-chemotherapy were analysed. Flow cytometry was performed for patients with matched pre- and post-chemotherapy peripheral blood mononuclear cell samples. A significant decrease in absolute lymphocyte count at 12 months post-chemotherapy was observed (p

Christian and right-wing actors have been able to push their agenda, which includes the idea of Christian supremacy and fundamentalist views on sexual orientation, gender relations, reproductive rights and family concepts, toward the political center in recent years. In this context, the new Christian Right metapolitics is moving beyond mere debates and ideological discussions to become a way of life. At the same time, we observe an increasing number of progressive Christian actors online, who address gender and sexuality issues from a perspective in line with their (progressive) religious convictions. This is where our paper sets out and explores how Christian activists in the German speaking part of Europe engage in debates on gender and sexuality issues online. Numerous current examples show that the social media platform TikTok is a place of digital activism that is increasingly gaining influence in different social spheres, shaping young people's political attitudes and political participation. Through a multimodal analysis of videos of self-described Christian activists from different denominations in the German speaking part of Europe, we aim to identify the different characteristics that address gender and sexuality issues. We find that both, conservative and progressive Christian TikTokers use similar strategies and techniques and address gender and sexuality issues in three dimension: Gender identity, gender relations and sexual orientation. Our interdisciplinary paper contributes to the growing field of research on religious digital activism by combining insights from political science and religious studies as well as queer studies.

ABSTRACT Background In the 8th edition of the TNM classification, extracapsular spread (ECS) became a factor in classifying the UICC stage of oropharyngeal carcinomas (OPSCC). We aimed to find genetic markers for ECS and to identify differences between HPV/p16‐positive and HPV/p16‐negative cases. Methods We performed targeted next‐generation sequencing on 99 samples of operable OPSCC and a retrospective analysis of clinical data. Results We included 55 HPV/p16‐positive and 44 HPV/p16‐negative patients. We found a significant difference between both groups, particularly in TP53 mutation (p

Introduction The Vaginal Microbiome Research Consortium for Africa (VMRC4Africa) study is a multicentre observational cohort study. We aim to enrol parallel cohorts of 100 women from two sites in two African countries (N=200) (Desmond Tutu HIV Centre [DTHC], South Africa; Kenya Medical Research Institute [KEMRI], Kenya) to evaluate detailed temporal fluctuations in vaginal microbiota in young, generally healthy women from Southern and Eastern Africa.Methods and analysis Cohorts in Kenya and South Africa will be followed up twice a week for 10 weeks to create detailed profiles of vaginal microbial community state types (CSTs; by 16S rRNA gene sequencing) and fungal communities (by internal transcribed spacer (ITS) sequencing) and to identify women with stable Lactobacillus crispatus-dominated microbiota, with no evidence of genital inflammation, as assessed by the measurement of inflammatory cytokines.Discussion Through the establishment of this African vaginal sample biorepository, the intention will be to cultivate Lactobacillus isolates to create a biobank from which to ultimately select geographically diverse Lactobacillus strains with health-promoting characteristics that can be co-formulated into live biotherapeutic products (LBPs) to treat bacterial vaginosis (BV) for women in sub-Saharan Africa.Ethics and dissemination The VMRC4Africa study has been granted ethical approval by the Human Research Ethics Committees in South Africa (UCT HREC: 611/2022) and Kenya (KEMRI Scientific and Ethics Review Unit: SERU No. 4569). Deidentified microbial community compositional data will be made available on public databases. Results of the study will be published in peer-reviewed journals.

T-cell response plays an important role in SARS-CoV-2 immunogenicity. For people living with HIV (PWH) and solid organ transplant (SOT) recipients there is limited evidence on the reliability of commercially available T-cell tests. We assessed 173 blood samples from 81 participants (62 samples from 35 PWH; 111 samples from 46 SOT recipients [lung and kidney]) with two commercial SARS-CoV-2 Interferon-γ (IFN-γ) release assays (IGRA; SARS-CoV-2 IGRA by Euroimmun, and IGRA SARS-CoV-2 by Roche). The reliability between the tests was judged as low (Cohen's kappa [κ] = 0.20; overall percent agreement [OPA] = 66%). A high proportion of tests were invalid (22% Euroimmun; 8% Roche). When excluding these invalid tests, the agreement was higher (κ = 0.43; OPA = 90%). The low reliability between the two T-cell tests indicates that results should be interpreted with caution in SOT recipients and PWH and that SARS-CoV-2 T-cell tests need to be optimized and further validated for use in vulnerable patient populations.

Background Aortic coarctation (CoA) is a congenital anomaly leading to upper-body hypertension and lower-body hypotension. Despite surgical or interventional treatment, arterial hypertension may develop and contribute to morbidity and mortality. Conventional blood pressure (BP) measurement methods lack precision for individual diagnoses and therapeutic decisions. This study evaluated the use of artificial intelligence-based pulse wave analysis (AI-PWA) to assess central aortic blood pressure (CABP) and related parameters in post-treatment CoA patients.Methods This exploratory, cross-sectional study enrolled 47 adults with CoA, between June 2023 and May 2024. Peripheral BP (PBP) was conventionally measured, and CABP was assessed using the VascAssist2 (inmediQ, Butzbach, Germany). Hypertension was defined by systolic BP≥140 mm Hg and/or diastolic BP≥90 mm Hg for PBP. Using AI-PWA, patients with systolic CABP≥130 mm Hg and/or diastolic BP≥90 mm Hg were classified as hypertensive.Results The study cohort’s age was 41.5±13.7 years, with all patients having undergone previous aortic surgery or intervention. PBP measurements showed a systolic BP of 135.4±14.4 mm Hg at the upper and 147.8±20.3 mm Hg at the lower extremities. CABP measurements were significantly lower, with a systolic BP of 114.3±15.8 mm Hg (p

Introduction Upper limb (UL) impairment is common in people with multiple sclerosis (pwMS), and functional recovery of the UL is a key rehabilitation goal. Technology-based approaches, like virtual reality (VR), are increasingly promising. While most VR environments are task-oriented, our clinical approach integrates neuroproprioceptive ‘facilitation and inhibition’ (NFI) principles. To advance this, we developed immersive VR software based on NFI principles targeting UL function and sit-to-stand ability. This study aims to evaluate the effectiveness of this VR therapy compared with conventional NFI-based physical therapy in pwMS. Our study uniquely applies advanced imaging techniques, along with biological molecular assessments, to explore adaptive processes induced by VR rehabilitation.Methods and analysis This double-arm, randomised, assessor-blinded, controlled trial runs over 2 months (1 hour, 2 times per week). PwMS with mild to severe disability will receive either VR therapy or real-world physical therapy. Primary outcomes include the nine-hole peg test, box and block test, handgrip strength, tremor and five times sit-to-stand test. Secondary measures include the Multiple Sclerosis Impact Scale, the 5-level EQ-5D questionnaire and kinematic analysis. Adaptive processes will be monitored using imaging techniques (functional MRI and tractography), molecular genetic methods (long non-coding RNAs) and immune system markers (leukocytes, dendritic cells). The International Classification of Functioning, Disability and Health brief set for MS will map the bio-psycho-social context of participants.Ethics and dissemination This project and its amendments were approved by the Ethics Committee of the Institute for Clinical and Experimental Medicine and Thomayer Hospital (1983/21+4772/21 (G-21–02) and the Ethics Committee of Kralovske Vinohrady University Hospital (EK-VP/38/0/2021) in Prague, Czechia (with single enrolment). The findings of this project will be disseminated through scientific publications, conferences, professional networks, public engagement, educational materials and stakeholder briefings to ensure a broad impact across clinical, academic and public domains.Trial registration number clinicaltrials.gov (NCT04807738).

Precision, or personalised medicine has advanced requirements for medical data management systems (MedDMSs). MedDMS for precision medicine should be able to process hundreds of parameters from multiple sites, be adaptable while remaining in sync at multiple locations, real-time syncing to analytics and be compliant with international privacy legislation. This paper describes the LogiqSuite software solution, aimed to support a precision medicine solution at the patient care (LogiqCare), research (LogiqScience) and data science (LogiqAnalytics) level. LogiqSuite is certified and compliant with international medical data and privacy legislations. This paper evaluates a MedDMS in five types of use cases for precision medicine, ranging from data collection to algorithm development and from implementation to integration with real-world data. The MedDMS is evaluated in seven precision medicine data science projects in prehospital triage, cardiovascular disease, pulmonology, and oncology. The P4O2 consortium uses the MedDMS as an electronic case report form (eCRF) that allows real-time data management and analytics in long covid and pulmonary diseases. In an acute myeloid leukaemia, study data from different sources were integrated to facilitate easy descriptive analytics for various research questions. In the AIDPATH project, LogiqCare is used to process patient data, while LogiqScience is used for pseudonymous CAR-T cell production for cancer treatment. In both these oncological projects the data in LogiqAnalytics is also used to facilitate machine learning to develop new prediction models for clinical-decision support (CDS). The MedDMS is also evaluated for real-time recording of CDS data from U-Prevent for cardiovascular risk management and from the Stroke Triage App for prehospital triage. The MedDMS is discussed in relation to other solutions for privacy-by-design, integrated data stewardship and real-time data analytics in precision medicine. LogiqSuite is used for multi-centre research study data registrations and monitoring, data analytics in interdisciplinary consortia, design of new machine learning / artificial intelligence (AI) algorithms, development of new or updated prediction models, integration of care with advanced therapy production, and real-world data monitoring in using CDS tools. The integrated MedDMS application supports data management for care and research in precision medicine.