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A novel machine learning based framework for developing composite digital biomarkers of disease progression.
Front Digit Health
January 2025
Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, United States.
Background: Current methods of measuring disease progression of neurodegenerative disorders, including Parkinson's disease (PD), largely rely on composite clinical rating scales, which are prone to subjective biases and lack the sensitivity to detect progression signals in a timely manner. Digital health technology (DHT)-derived measures offer potential solutions to provide objective, precise, and sensitive measures that address these limitations. However, the complexity of DHT datasets and the potential to derive numerous digital features that were not previously possible to measure pose challenges, including in selection of the most important digital features and construction of composite digital biomarkers.
View Article and Find Full Text PDFUse of Indocyanine Green (ICG) to Assess Myocardial Perfusion and Territorial Distribution of Vein Grafts Implanted on Coronary Arteries in an Porcine Model. A Potential Adjunct to Assist Revascularization Strategies and Training in Coronary Artery Bypass Grafting.
Rev Cardiovasc Med
January 2025
Cardiac Surgery, University of Cincinnati Medical Center, Cincinnati, OH 45202, USA.
Background: The fluorescent dye indocyanine green (ICG) has been used to identify anatomical structures intraoperatively in coronary artery bypass grafting (CABG). This study aimed to evaluate the feasibility of using ICG to assess graft patency and territorial distribution of myocardial reperfusion during CABG.
Methods: Porcine arrested hearts (n = 18) were used to evaluate territorial distribution of native coronary arteries and of a coronary bypass constructed with porcine saphenous vein graft (SVG) using ICG.
Seeing Ourselves in Others: Understanding and Addressing Biases in Medical School Admissions Processes.
Perspect Med Educ
January 2025
Hartford Hospital and the Institute of Living, Hartford, Connecticut, USA.
Purpose: Medical school admissions is a vital area for advancing diversity, equity, and inclusion (DEI). Integrating bias recognition and management (BRM) within the context of admissions is critical in advancing DEI. However, there is a dearth of empirically informed literature on BRM in the admissions context.
View Article and Find Full Text PDFResponsible Use of Population Neuroscience Data in the ABCD: Towards Standards of Accountability and Integrity.
Eur J Neurosci
January 2025
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA.
This editorial focuses on the issue of data misuse that is increasingly evidenced in social media as well as some premiere scientific journals. This issue is of critical importance to open science projects in general, and ABCD in particular, given the broad array of biological, behavioural and environmental information collected on this American sample of 12,000 youth and parents. ABCD data are already widely used with over 1,200 publications and twice as many citations per year as expected (relative citation index based on year, field and journal).
View Article and Find Full Text PDFResponsible Design, Integration, and Use of Generative AI in Mental Health.
JMIR Ment Health
January 2025
The Samueli Initiative for Responsible AI in Medicine, Tel Aviv University, Tel Aviv, Israel.
Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI's capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation.
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