Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 9,591 to 9,600 of 208,566 articles

Investigating Hybrid Deep Learning Architectures for Speech Envelope Reconstruction from EEG

bioRxiv
Reconstructing speech envelopes from electroencephalography(EEG) signals is a challenging but valuable task for brain-computer interfaces (BCIs), with applications in assistive communication for individuals with speech impairments. While deep learnin... read more 

Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes

bioRxiv
Understanding and modeling how a single human genome concurrently encodes gene regulatory programs for thousands of cell types remains a central challenge in genomics and machine learning. Most human cell types emerge during embryonic, fetal, and ped... read more 

A scutum-focused deep learning pipeline for species-level identification of Aedes aegypti and Aedes albopictus from citizen-science images

bioRxiv
Background. Mosquito-borne diseases transmitted by Aedes aegypti and Aedes albopictus, including dengue, Zika, chikungunya, and yellow fever, depend critically on rapid and accurate vector identification. Although deep learning has achieved high accu... read more 

Protracted prediction: Neurodevelopment of reward processing in the adolescent cerebellum.

bioRxiv
Adolescence is characterized by heightened reward sensitivity, novelty seeking, and risky decision-making. Prevailing neurodevelopmental frameworks typically attribute these behavioral trends to a maturational imbalance between rapidly developing str... read more 

Distinct afferent signatures onto anterior and posterior VMHvl subdomains and their progesterone receptor-expressing neurons

bioRxiv
Female sexual behavior is fundamentally coupled to reproductive state, requiring the dynamic and coordinated regulation of sexual receptivity and rejection across the estrous cycle. In mice, these opposing behaviors are controlled by distinct neurona... read more 

Affinity Fine-Tuning of Boltz-2: An Open Framework for Protein-Ligand Potency Prediction in Drug Discovery

bioRxiv
Boltz-2 has enabled accurate binding affinity prediction by leveraging co-folded protein-ligand structures, but the absence of a public training recipe has limited its use in active drug discovery projects, where new experimental measurements and con... read more 

Signal, Bounds, and Baselines: Principles for Evaluating Virtual Cell Perturbation Models

bioRxiv
Foundation models and deep learning systems are increasingly proposed as core components of "virtual cells" capable of forecasting transcriptomic responses to unseen perturbations. Yet rigorous evaluation of perturbation prediction in high-dimensiona... read more 

Association of a polygenic risk score with coronary atherosclerotic burden in clinical CT angiograms

medRxiv
Background: Polygenic risk scores (PRS) for coronary artery disease (CAD) are associated with cardiovascular events, but the relationship between inherited risk and routinely reported coronary computed tomography angiography (CTA) findings has not be... read more 

Breath volatile profiling reveals a diagnostic signature of MASLD in children

medRxiv
Background & Aims: Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) is the leading cause of chronic liver disease in children. However, accurate, noninvasive diagnostic tools remain limited. Current screening methods are invasive or l... read more 

Deep Learning Prediction of Personalized Peripapillary Retinal Nerve Fiber Layer Thickness Norms from Fundus Images in Glaucoma

medRxiv
Purpose: To predict retinal nerve fiber layer thickness (RNFLT) norms from fundus images. Methods: We selected 18,000 OCT scans and visual fields (VF) from the Massachusetts Eye and Ear Glaucoma Service. A U-Net-based deep learning model was develope... read more