Background: A critical radiologist shortage exists in India, leading to delayed chest radiograph (CXR) interpretation. This leads to disease progression, higher morbidity, and mortality. Artificial intelligence-based CXR interpretation by Lenek Intel... read more
While aging manifests differently across organs and individuals, existing approaches to measure it lack the spatial resolution to capture this complexity. Here, we develop an approach that applies multi-modal imaging, segmentation algorithms, and dee... read more
Capturing the structured mixing within a population is key to the reliable projection of infectious disease dynamics and hence informed control. Both heterogeneity in the number of epidemiologically-relevant contacts and age-structured mixing have be... read more
Molecular interactions underlie nearly all biological processes, but many representation learning models either focus on single entities or are trained for a narrow set of interaction settings. Here, we introduce ATOMICA, a geometric deep learning mo... read more
Early and accurate assessment of bull fertility is critical for the success of artificial insemination (AI) programs in cattle production. However, current selection tools, including genomic predictions and standard semen evaluations, offer limited r... read more
Amniotic fluid (AF) profiling provides a minimally invasive window into early fetal physiology. We characterized the AF metabolome from first trimester (Day 68) Holstein dairy heifers (n = 45), considering fetal sex, conception method [in vitro ferti... read more
Facial plastic surgery & aesthetic medicine
Mar 16, 2026
BACKGROUND: An automated method to accurately quantify facial function from videos has been a long-standing challenge in facial palsy (FP) management. OBJECTIVE: To compare the accuracy of a Python open-source machine learning algorithm (Python-OS) t... read more
OBJECTIVES: To develop a Generative Adversarial Network (GAN) for generating virtual T2 fat-suppressed (T2FS) sequences from standard T1- and T2-weighted images, with the clinical objective of reducing MRI scan time without compromising diagnostic va... read more
A high-throughput targeted quantification method based on GC-MS/MS was established to determine 156 trace volatile aroma compounds (TVACs) in Sauce-flavor Baijiu. The method showed good linearity over 2-10,000 μg/L (R2 > 0.99), low LOQs (< 25.76 μg/L... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.