AI Medical Compendium

Actinic keratosis staging in multimodal image data.

Computer methods and programs in biomedicine Apr 12, 2026

BACKGROUND AND OBJECTIVE: Actinic Keratosis (AK) is a common skin condition, usually appearing on sun-exposed areas, whose progression is associated with characteristic dermatoscopic and structural changes. Early detection of AK is crucial, as cancer... read more

Fair enough? How developers and clinicians justify who receives physical assistive robotics in rehabilitation.

Social science & medicine (1982) Apr 12, 2026

BACKGROUND: Physical assistive robots are increasingly promoted in rehabilitation. However, it remains unclear how and for whom, physical assistive robots move from laboratory prototypes into rehabilitation practice, and whether this transition mitig... read more

Salivary biomarkers and their diagnostic importance in oral diseases.

Archives of oral biology Apr 12, 2026

OBJECTIVE: This review critically evaluates the diagnostic potential of salivary biomarkers in oral diseases, highlighting their role as non-invasive tools for early detection, disease monitoring, and precision oral healthcare. DESIGN: A narrative re... read more

Interpretable machine learning and molecular simulations identify natural pancreatic lipase inhibitors and hydrophobic hotspot residues.

Bioorganic chemistry Apr 12, 2026

Pancreatic lipase (PL) is a validated peripheral target for limiting dietary fat absorption, yet structurally diverse natural inhibitors remain scarce. We assembled a PL inhibitor dataset from public resources and trained a random-forest classifier u... read more

Geo-Mamba: Geometry-informed state-space learning of functional brain organization.

Medical image analysis Apr 12, 2026

Functional magnetic resonance imaging (fMRI) derived functional connectivity (FC) is represented as graphs and as correlation or covariance matrices that live on non-Euclidean spaces, cortical graphs and the Riemannian manifold of symmetric positive-... read more

Free water in the hippocampal cingulum as a Radiomic biomarker for Identifying inflammatory neuropsychiatric Lupus: A cross-sectional case-control study.

Journal of autoimmunity Apr 12, 2026

PURPOSE: Neuropsychiatric systemic lupus erythematosus (NPSLE) is a serious manifestation of systemic lupus erythematosus (SLE), yet its neuroimaging diagnosis remains challenging. This study aims to explore the value of FW-corrected diffusion model ... read more

A machine learning approach to predicting dyspnea with noninvasive biomarkers.

Respiratory physiology & neurobiology Apr 12, 2026

Dyspnea is the subjective sensation of breathing discomfort. This symptom is highly prevalent in patients with chronic and critical illness, and its presence is associated with poor clinical outcomes and long-term psychological trauma. The multidimen... read more

Towards transparent and interpretable screening: multi-biofluid FTIR spectroscopy with LLM-Augmented explainability for pancreatic cancer detection.

Methods (San Diego, Calif.) Apr 12, 2026

Early detection of pancreatic cancer remains a critical challenge in oncology, with current diagnostic methods often failing to identify the disease until advanced stages. However, diagnostic accuracy alone may be insufficient for clinical adoption a... read more

Integrated genomic profiling identifies predictive biomarkers for neoadjuvant therapy response in Chinese breast cancer patients.

Cancer letters Apr 12, 2026

Neoadjuvant therapy (NAT) has emerged as a standard treatment strategy for locally advanced breast cancer (BC), yet robust biomarkers for response prediction remain elusive. Here, we established a real-world NAT cohort of 1161 Chinese BC patients, in... read more

Learning to take it personally: Precision drug repurposing through patient-specific loss on knowledge graphs using Biobank data.

Journal of biomedical informatics Apr 12, 2026

OBJECTIVE: Precision medicine requires drug repurposing methods that adapt to individual patient profiles while working within regulatory frameworks. Existing approaches apply uniform models to all patients, only using individual factors as inputs or... read more

Artificial Intelligence Medical Compendium