VEIL.AI’s Post

🙏 Thanks Tuomo Pentikäinen and VEIL.AI for helping spread the word about #PHEMS at the OHDSI (Observational Health Data Sciences & Informatics) European Symposium! Veil.ai supports the PHEMS project by creating on-demand next-generation anonymized datasets with state-of-the-art accuracy that eliminate personally identifiable information while retaining the ability to conduct cutting edge research. This is essential for PHEMS to achieve its goal of creating a Pediatric Health Data Space where hospitals can share data and improve patient care while protecting their privacy. Read more about Veil.ai below and about PHEMS here ➡ https://phems.eu/ #PediatricInnovation #PHEMS Synthema, AISym4MED - Horizon Europe, SECURED EU project, FLUTE Project - AI & Prostate Cancer, NearData Consortium European Health and Digital Executive Agency (HaDEA), Phase4AI-EUProject

Reference intervals (RIs) are used across many medical disciplines, allowing physicians to quickly pinpoint potentially pathological test results. Intervals vary between populations and individuals, but so far, personalized RIs are cumbersome to obtain. Researchers from the BioRef consortium of the University Hospitals of Bern (Inselspital) and Lausanne (CHUV) as well as from the University Children's Hospital Zurich and Swiss Paraplegic Research have established a multicentric IT framework in collaboration with Tune Insight and SPHN to obtain patient group-specific RIs from routine laboratory data. This infrastructure, BioRef TI4Health, is the first of its kind featuring a federated network where patient data remains at each participating hospital, yet allowing a joint evaluation in real-time, secured by homomorphic encryption. This enables clinical physicians and researchers to interactively define precise RIs in a privacy-preserving and reproducible manner, streamlining compliance and promoting a vital part of precision medicine while offering a maximum of patient privacy protection. Study describing the approach and results: https://lnkd.in/emTRmwcb Swiss BioRef project (SPHN-funded): https://lnkd.in/eCU_zvaA #labdata #personalizedmedicine #dataprotection #federatedlearning #multicenter #research #diagnosis #dataanalysis #aiinhealthcare #datascience #medicine Insel Gruppe CHUV | Lausanne university hospital Kinderspital Zürich #Paraplegikerforschung Swiss Personalized Health Network (SPHN) Tune Insight https://www.biomedit.ch/ https://lnkd.in/eMmbqP55

📣 It's official! The OHDSI (Observational Health Data Sciences & Informatics) #rehabilitation working group can now be found on the official #OHDSI website. The WG is co-led by PREPARE partners Ruud Selles & Esther Janssen. Here's the official announcement from the OHDSI collective: "Our new #Rehabilitation workgroup works to leverage the OHDSI collaborative to enable large scale observational rehabilitation research. Thank you to co-lead Ruud Selles for introducing us to the team and sharing upcoming goals! #JoinTheJourney" Are you an expert interested in joining? Upcoming calls can be found at 🌐 https://lnkd.in/ewZfEP7F

I'm happy to share that my capstone project, "Analysis of Intraoperative Blood Pressure Time Series and Extraction of Features Predictive of 30-Day Mortality," which we have submitted as a Podium Abstract has been accepted for presentation at the AMIA (American Medical Informatics Association) 2024 Annual Symposium! This research focuses on analyzing intraoperative blood pressure (BP) time series data to identify features associated with 30-day postoperative mortality. We utilized change point detection (CPD) with Pruned Exact Linear Time (PELT) and L1 regularization to pinpoint transitions in BP data, examining how intraoperative hypotension, hypertension, and BP variability influence outcomes. The study aims to extract and compare time series features of mean arterial pressure (MAP) linked to increased mortality risk, providing insights for enhancing perioperative patient care. Special thanks to Dr. Cristina Barboi and Professor Saptarshi Purkayastha and Thank you to everyone who supported me along the way. Looking forward to presenting our findings and contributing to this important field of study. https://lnkd.in/guNsuKsq #Healthinformatics #Research #AMIA2024 #PatientSafety #DataScience #timeseries #amiaAnnualSymposium

I am excited to announce that I will be attending the HDR UK Conference 2024: The Grand Challenges in Health Data. I will represent the Overton group at the School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast. I want to thank the HDR UK and my supervisors for this opportunity to learn more about harnessing the benefits that come with health data. #HDRUK #HealthDataScience #Bioinformatics #DataScience

[#Webinar] D-8 until our next QuanTIM Webinar! ⤵ 💬 Combining Randomized Control Trial and Observational Data 🗣 julie josse (Inria, Inserm, Université de Montpellier) 💻 https://lnkd.in/dz2me6ah ------- Interested in a QuanTIM Webinar's panelist spot and a funding for a scientific conference or a research stay in one of the SESSTIM’s teams? Check-out PhD Student Award! 🎓🏅 ➡ https://lnkd.in/dvJatmMx ------- ⬇⬇ Abstract ⬇⬇ Randomized Controlled Trials (RCTs) are pivotal in evidence-based medicine, estimating average treatment effects by averting confounding factors. However, concerns about RCT limitations—strict eligibility criteria, real-world impracticality, and small sample sizes—threaten their generalization to diverses populations. We will developp transportability methods by integrating non-randomized observational data to extend trial findings to other populations, potentially facing distributional shifts. #PublicHealth #CausalInference #ClinicalTrials #Transportability #TreatmentEffect #DoubleRobustness Cc. Aix-Marseille Université, IRD, Santé publique France, ISSPAM, Société Française de Santé Publique (SFSP), Collège de Liaison des Internes de Santé Publique (CLISP), EUPHA - European Public Health Association, EuroHealthNet, European Public Health Alliance (EPHA), Young WFPHA

In their latest letter to the UR CTSI community, co-directors Karen Wilson and Martin Zand reflect on a recent NIH site visit, promotion and recognition of institute personnel, and more. Read the full letter from the co-directors in the link below. #translationalresearch #translationalscience #ctsi #ctsa

In late January 2023, the new Data Management and Sharing (DMS) Policy of the National Institutes of Health (NIH), which requires researchers to share data that were generated with NIH support, went into effect.1 New proposals and competitive renewals for research grants must now include a DMS Plan that describes the data expected to be generated, associated metadata, timelines related to data preservation and access, and factors affecting distribution and reuse, as well as oversight arrangements and budgets for allowable costs.