AI Medical Compendium

DDA-BERT: end-to-end training for data-dependent acquisition mass spectrometry-based proteomics.

Nature communications Apr 27, 2026

Peptide-spectrum match (PSM) rescoring is critical for accurate peptide identification in data-dependent acquisition (DDA)-based proteomics. Existing rescoring frameworks typically combine search-engine scores with heuristic or learned auxiliary feat... read more

A multi-region flexible neural interface for behavioral state decoding in freely moving mice.

Microsystems & nanoengineering Apr 27, 2026

High-density, long-term stable decoding of whole-brain function is crucial for advancing basic neuroscience research and developing neural disorder therapies. However, two major challenges remain: the lack of scalable interfaces capable of long-term,... read more

Artificial intelligence-enabled non-invasive cataract diagnosis and grading system using anterior segment images.

Chinese medical journal Apr 27, 2026

1H NMR-Based Plasma Metabolomics and Machine Learning Reveal Distinct Metabolic Signatures of Breast Cancer in Nigerian Women.

Journal of proteome research Apr 27, 2026

Untargeted 1H NMR metabolomics offers a noninvasive means to identify biomarkers in breast cancer (BC) patients; however, metabolic signatures specific to Nigerian women remain poorly understood. This study aimed to identify plasma metabolomic and li... read more

Antimycobacterial Peptides: From Natural Product Discovery to AI Guided Design.

Biochemistry Apr 27, 2026

Mycobacterial pathogens remain major global health threats, exacerbated by both rapid acquisition of antibiotic resistance and the formidable drug diffusion barrier presented by the rigid mycomembrane. These challenges have renewed interest in antimy... read more

Gas-Informed Machine Learning Framework for Stage Classification and Early Forecasting of Battery Degradation.

ACS applied materials & interfaces Apr 27, 2026

Battery health prediction typically relies on electrical signals such as capacity, voltage, and impedance, which are chemically nonspecific and can lag the onset of failure. Here we show that operando gas evolution measured by online electrochemical ... read more

Deep learning discriminates seizures from normal brain oscillations in the electroencephalogram of a rat model of post-traumatic epilepsy.

eNeuro Apr 27, 2026

This study used machine learning to objectively identify seizures in the electroencephalogram of a model of post-traumatic epilepsy based on fluid percussion injury in male rats. We applied transfer learning to a neural-network trained and tested on ... read more

Concept of premature mortality: protocol for a scoping review.

BMJ open Apr 27, 2026

INTRODUCTION: Premature mortality (PM) is a concept applied in public health, epidemiology, medicine, demography and economics. Its conceptualisations vary across disciplines and often rely on implicit normative assumptions. A scoping review is neede... read more

Development of a community home-based dual-supplier cooperation care model for people with dementia based on an intelligent decision-assistance system: protocol of a 1-year randomised controlled trial in China.

BMJ open Apr 27, 2026

INTRODUCTION: Dementia imposes significant care and financial burdens on families and countries globally. While high-quality home-based care is crucial, the current supply chain of care-relying on family caregivers and community healthcare workers-re... read more

Validity and applicability of machine learning models for systemic lupus erythematosus diagnosis.

Lupus science & medicine Apr 27, 2026

BACKGROUND: The diagnosis of systemic lupus erythematosus (SLE) is clinically complex, and early identification is essential for timely intervention and reducing disease burden. Machine learning offers a promising approach to distinguish early-stage ... read more

Artificial Intelligence Medical Compendium