AI Medical Compendium

From Formability to Bandgap: Machine Learning Accelerates the Discovery and Application of Perovskite Materials.

ACS nano Aug 6, 2025

Perovskite materials are considered promising candidates for applications in solar cells, photodetectors, catalysts, and light-emitting diodes, owing to their exceptional physicochemical and structural properties. Recently, the integration of machine... read more

Machine-Learning-Assisted Density Functional Theory Calculations: A New Approach to Screening Thermal Runaway Gas Sensors for Lithium-Ion Batteries.

Langmuir : the ACS journal of surfaces and colloids Aug 6, 2025

Lithium-ion batteries face safety risks, such as spontaneous combustion and explosion, during long-term use and will rupture and release combustible gases, such as CH, CO, H, and CO, during thermal runaway. Therefore, the detection of these specific ... read more

Incorporation of Metabolic Dysfunction-Associated Steatotic Liver Disease in the Health Stage of Cardiovascular-Kidney-Metabolic Syndrome Improves Predictive Ability for Coronary Artery Disease in a Japanese General Population.

Journal of the American Heart Association Aug 6, 2025

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a recently proposed condition encompassing metabolic dysfunction, chronic kidney disease, and cardiovascular diseases including coronary artery disease (CAD). Although concomitant metaboli... read more

Humans Metabolic Syndrome East Asian People Fatty Liver Japan Cardio-Renal Syndrome Coronary Artery Disease Predictive Value of Tests Male Female Aged Risk Factors Prognosis Middle Aged Risk Assessment

Deep manifold learning reveals hidden developmental dynamics of a human embryo model.

Science advances Aug 6, 2025

In this study, postimplantation human epiblast and amnion development are modeled using a stem cell-based embryoid system. A dataset of 3697 fluorescent images, along with tissue, cavity, and cell masks, is generated from experimental data. A computa... read more

Cell Differentiation Models, Biological Deep Learning Embryoid Bodies Embryonic Development Embryo, Mammalian Humans

Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Applied spectroscopy Aug 6, 2025

Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more

Analysis of Factors Influencing Immunological Failure in Elderly People Living with HIV Undergoing Antiretroviral Therapy: A LASSO-Logistic Regression Approach.

AIDS research and human retroviruses Aug 6, 2025

This study aimed to identify key predictors of immunological failure in elderly patients with HIV receiving antiretroviral therapy (ART) through machine learning approaches. We conducted a retrospective analysis of 490 elderly patients with HIV (incl... read more

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025

The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1: = 17... read more

Longitudinal Studies Brain Female Young Adult Social Behavior Brain Mapping Humans Male Social Networking Magnetic Resonance Imaging Adult Adolescent Friends Consumer Behavior

Breeding 5.0: Artificial intelligence (AI)-decoded germplasm for accelerated crop innovation.

Journal of integrative plant biology Aug 6, 2025

Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions. This ... read more

An improved domain-adversarial network for predicting hemodialysis adequacy.

Biomedical physics & engineering express Aug 6, 2025

Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease (ESRD). However, current real-time monitoring methods during dialysis are costly, complex, and not widely adopted. Therefore, this study aims to prop... read more

Renal Dialysis Kidney Failure, Chronic Male Deep Learning Female Humans Algorithms Neural Networks, Computer

Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.