Artificial Intelligence Medical Compendium

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

Showing 21,711 to 21,720 of 216,627 articles

Mapping the combinatorial coding between olfactory receptors and perception with deep learning

bioRxiv
The sense of smell remains poorly understood, especially in contrast to visual and auditory coding. At the core of our sense of smell is the olfactory information flow, in which odorant molecules activate a subset of our olfactory receptors and combi... read more 

Cholinergic modulation of reinforcement learning and prefrontal value computations under uncertainty

bioRxiv
The neuromodulator acetylcholine has been suggested to govern learning under uncertainty. Here, we investigated the role of muscarinic acetylcholine receptors in reward-guided learning and decision making under different degrees of uncertainty. We ad... read more 

Metastatic Site Prediction in Breast Cancer using Kirchhoff's Law and Omics Knowledge Graph

bioRxiv
Predicting the anatomical site of metastasis from a primary tumour remains an unsolved problem in breast cancer (BRCA) and metastatic disease more broadly. The difficulty is structural: metastatic biology is multi-site (bone, lung, liver, brain), mul... read more 

Toward Early Diagnosis and Therapeutic Discovery in CLN3 Disease: A Computational Biomarker Discovery Framework

medRxiv
Background CLN3 disease, also known as juvenile neuronal ceroid lipofuscinosis, is a rare and neurodegenerative disorder characterized by the accumulation of lipopigments in the cells, progressive cognitive decline, seizures, and vision loss. Biomark... read more 

Conserved neuroectodermal aging encodes primate health and longevity

medRxiv
Neuroectoderm-derived tissues are highly metabolically active and exhibit minimal regenerative turnover, rendering them uniquely vulnerable to age-related stress while preserving undiluted degenerative signals. Yet aging dynamics in these tissues rem... read more 

Artificial Intelligence Driven Support and Self Care Competence as Determinants of Medication Adherence in Diabetes Care, A Cross-sectional Nigerian Study

medRxiv
Medication adherence among patients with diabetes remains suboptimal in low and middle income countries, including Nigeria. Emerging digital health interventions such as AI powered virtual support may be associated with improved adherence behaviours.... read more 

ChatIBD: design, safeguards, and early international use of a guideline-grounded generative AI tool for inflammatory bowel disease (IBD) professionals

medRxiv
Objectives To describe the design, operational safeguards, and early use of ChatIBD, a specialty-specific generative AI platform for inflammatory bowel disease (IBD), during its first 6 months of live deployment. Methods ChatIBD is an online question... read more 

Generating synthetic tau-PET scans in Alzheimer's disease from MRI, blood biomarkers and demographics with deep learning

medRxiv
Tau protein aggregation in the brain is a hallmark of Alzheimer's disease (AD). Positron emission tomography (PET) is the only in vivo method to visualize tau pathology and estimate both its burden and regional distribution, but the use of tau-PET is... read more 

Classification of Smartphone Interaction Using Multimodal Physiological Signals with a Brain-Body Spatio-Temporal Transformer

bioRxiv
Distinct smartphone interaction behaviors, like short-form video scrolling and mobile gaming, elicit qualitatively different cognitive and physiological responses. However, such distinctions is often overlooked by approaches that treat smartphone use... read more 

Multi-modal Ensemble Approach for Decoding Player Intentions in Table Tennis

bioRxiv
This study aims to predict human intentions during intense sports activities, specifically in table tennis. Using a publicly available Real World Table Tennis dataset containing simultaneous EEG and video recordings, we developed a series of particip... read more