AI Medical Compendium

AlphaMissense pathogenicity scores predict response to immunotherapy and enhances the predictive capability of tumor mutation burden.

Translational oncology Feb 3, 2026

Tumor Mutational Burden (TMB) is a widely used biomarker for selecting cancer patients for immune checkpoint inhibitor (ICI) therapy. However, TMB alone has limited predictive power, as it fails to account for the functional impact of mutations. We i... read more

A hybrid swin transformer-BiLSTM framework and ensemble learning for multimodal brain stroke detection and risk prediction.

Computers in biology and medicine Feb 3, 2026

Stroke is one of the leading causes of mortality and long-term disability worldwide, primarily resulting from the sudden disruption of cerebral blood flow. Early and accurate diagnosis plays a crucial role in minimizing neurological damage and improv... read more

Topology-aware multiclass segmentation of the Circle of Willis from MRA and CTA images.

Computers in biology and medicine Feb 3, 2026

The Circle of Willis (CoW) is an essential network of arteries that ensures blood flow throughout the brain. From a clinical perspective, evaluating the vessels of the CoW is highly relevant as its angioarchitecture and variants are important biomark... read more

Generative AI as Librarian: A New Model for Surgical Education.

Journal of surgical education Feb 3, 2026

Generative artificial intelligence (GAI) is anticipated to transform medical education, and many studies have already been published reporting its effectiveness, accuracy, and feasibility as a "tutor" to help medical students learn in different didac... read more

Development and Validation of a Machine Learning Tool for Plastic Surgery Residency Application Screening.

Journal of surgical education Feb 3, 2026

BACKGROUND: Applications to integrated plastic surgery residency programs have outpaced the growth of available positions. As a result, faculty must review more applications each year. Artificial intelligence provides 1 mechanism for holistic, expedi... read more

The phenomenal binding problem for neural networks.

Consciousness and cognition Feb 3, 2026

Our aim is to explore neural network mechanisms for phenomenal binding, i.e. combining micro-units of information into the macro-scale conscious experience common in human phenomenology. Such experiential complexity is a key feature that aspiring the... read more

Who would you save? Children and mothers' life-or-death decisions.

Cognition Feb 3, 2026

The principle of equal human worth is widely endorsed, yet real-world situations often require trade-offs. This raises a fundamental question: Do individuals truly value all human lives equally from an early age, or do they differentiate based on sal... read more

Autoencoders reveal polyunsaturated fatty acids (PUFA)-Related metabolic signature linked to cancer risk.

EBioMedicine Feb 3, 2026

BACKGROUND: Metabolomics is a valuable tool for characterising biological mechanisms involved in cancer development, but produces complex datasets with intricate interdependencies. While linear dimension reduction techniques such as principal compone... read more

Integrating AI-facilitated interviews to enhance CV writing.

Currents in pharmacy teaching & learning Feb 3, 2026

BACKGROUND: Faculty face challenges integrating professional development, such as curriculum vitae (CV) preparation, into curricula. For instance, adequate time and personnel may not be available for training and feedback. Faculty designed an artific... read more

Granular motivational interaction and behavioral choice during feeding.

Neuron Feb 3, 2026

Animals inhabit ever-changing environments where multiple needs frequently coexist. The dynamic interplay of diverse motivations enables them to make adaptive behavioral choices for survival and reproduction. This review defines "granular motivationa... read more

Artificial Intelligence Medical Compendium