AI Medical Compendium

Degradation graphs reveal hidden proteolytic activity in peptidomes.

PLoS computational biology Feb 20, 2026

Protein degradation is a regulated process that reshapes the proteome and generates bioactive peptides. Peptidomics and degradomics enables large-scale measurement of these peptides, yet most data analyses approaches treat peptides as isolated endpoi... read more

AquaX: An enhanced and revised AquaMaps framework to model marine species distributions and biodiversity.

PloS one Feb 20, 2026

Marine biodiversity underpins ecosystem health and is critical for the provision of essential ecological services. Global efforts to mitigate biodiversity loss are underway but require comprehensive knowledge on the biogeography of species to be effe... read more

AID-FGS: Artificial intelligence-enabled diagnosis of female genital schistosomiasis: Preliminary findings.

PLOS digital health Feb 20, 2026

Female genital schistosomiasis (FGS) is a sequela of infection with a waterborne parasite prevalent in sub-Saharan Africa and is associated with increased HIV risk. Diagnosis of FGS involves visual colposcopic identification of lesions on the cervix ... read more

CA-CAE: A deep learning-based multi-omics model for pan-cancer subtype classification and prognosis prediction.

PLoS computational biology Feb 20, 2026

In cancer research, identifying cancer subtypes and evaluating prognosis are crucial for personalized diagnosis and treatment of cancer. With the advancement of high-throughput sequencing technologies, multi-omics data has become essential for cancer... read more

Machine learning-based paleobathymetric reconstructions using archaeal lipid biomarkers.

Science advances Feb 20, 2026

Accurate reconstruction of paleo-ocean depths is essential for understanding the interplay between tectonic evolution and global climate change, yet existing methods face substantial limitations. Here, we assess the potential of glycerol dialkyl glyc... read more

Electroluminescent perovskite QD-based neural networks for energy-efficient and accelerate multitasking learning.

Science advances Feb 20, 2026

The ability of multitasking (MT) learning in neuro-inspired artificial intelligence (AI) systems offers promise for energy-efficient deployment in robotics, health care, and autonomous vehicles. Here, an MT learning framework is established using a d... read more

Boosting Computational Catalysis and Chemical Reactivity with Artificial Intelligence.

Journal of the American Chemical Society Feb 20, 2026

Artificial intelligence (AI) and machine learning (ML) are rapidly reshaping the landscape of computational chemistry, offering new opportunities for accelerating catalyst discovery and deepening our understanding of chemical reactivity. This perspec... read more

Machine Learning for Accelerated Metal Oxide Thermochemical Predictions.

Journal of chemical theory and computation Feb 20, 2026

A machine learning (ML) framework is developed to predict normalized clustering energies (NCE) of metal(II) oxides in order to extrapolate them to predict cohesive bulk energies. The NCE is the permonomer averaged energy difference between the cluste... read more

AI and Digital Tools in Dermatology: Addressing Access and Misinformation.

JMIR dermatology Feb 20, 2026

Digital dermatology, which is defined as the use of digital technologies that leverage individual- and population-level skin data to improve the diagnosis, treatment, and prevention of skin diseases, has emerged as a critical frontier for bridging pe... read more

Performance of Large Language Models Under Input Variability in Health Care Applications: Dataset Development and Experimental Evaluation.

JMIR AI Feb 20, 2026

BACKGROUND: Large language models (LLMs) are increasingly integrated into health care, where they contribute to patient care, administrative efficiency, and clinical decision-making. Despite their growing role, the ability of LLMs to handle imperfect... read more

Artificial Intelligence Medical Compendium