AI Medical Compendium

Multitargeted drug strategies for Alzheimer's and Parkinson's diseases.

Zeitschrift fur Naturforschung. C, Journal of biosciences Aug 31, 2026

Neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD), are multifactorial diseases that are characterized by several interconnected pathological mechanisms, such as the aggregation of amyloid-beta (Aβ), hyperphos... read more

Deep learning approaches to predict femoral neck T-score and osteopenia/osteoporosis status from wrist accelerometry data.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Aug 30, 2026

Osteoporosis is a prevalent condition with substantial health and economic implications. Although physical activity is associated with bone health, the specific temporal activity patterns related to bone mineral status remain insufficiently understoo... read more

Non-invasive detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders: an umbrella review on diagnostic accuracy.

Clinical oral investigations Aug 28, 2026

OBJECTIVES: Various non-invasive diagnostic techniques have been developed and assessed to improve early detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders. However, a clear overview of the diagnostic pe... read more

[Advances and prospects of hemostatic strategies in hepatic surgery].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 31, 2026

The liver is characterized by abundant blood supply and intricate anatomical architecture,rendering intraoperative and postoperative hemorrhage a primary clinical challenge. Conventional compression and suture ligation fail to enable precise perioper... read more

Patient-Derived Organoid and Single-Cell Multiomics Reveal Evolution Driven by CEACAM6/KRT19-Mediated Heterogeneity.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Aug 31, 2026

Colorectal cancer (CRC) remains a leading cause of cancer mortality globally, with therapeutic efficacy hindered by tumor heterogeneity and drug resistance. While organoid technology offers unprecedented opportunities to model tumor complexity, syste... read more

Clinical and Metabolomic Panel for Noninvasive Screening of Biopsy-Confirmed MASH in Children and Adolescents.

JHEP reports : innovation in hepatology Aug 30, 2026

BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohepatitis (MASH) remain a critical need. We aimed to develop and validate a screening panel that identifies biopsy-confirmed MASH in children and adoles... read more

What Kind of Claims Are Transparency, Explainability, and Interpretability? A Definitional Taxonomy for Health AI.

JMIR AI Aug 30, 2026

Transparency, explainability, and interpretability are ubiquitous in the health artificial intelligence (health AI) literature, yet are used inconsistently and often interchangeably. This Viewpoint does not attempt to define the three terms. It asks ... read more

Prognostic Models and Predictors of Recurrence in Resectable Colorectal Liver Metastases: A Systematic Review and Meta-analysis.

Critical reviews in oncology/hematology Aug 30, 2026

We systematically reviewed prognostic models for recurrence after curative-intent locoregional treatment of colorectal liver metastases (CRLM) and quantitatively synthesized prognostic factors associated with recurrence-free survival (RFS). From 2,20... read more

Combinatorial Probabilities of Multiple Fragmentation Events Explain Polypeptide MS/MS Intensity Distribution, Overrepresentation of Smaller Fragments, and Missing Middle of Top-Down MS.

Rapid communications in mass spectrometry : RCM Aug 30, 2026

RATIONALE: Lyon and coworkers demonstrated that multiple random fragmentation events can bias intensity distributions toward smaller terminal fragment ions. With any high-yield method of dissociation, such as high-energy collisional activation, this ... read more

Machine-Learning-Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 29, 2026

Characterizing surface protein heterogeneity on extracellular vesicles remains challenging but essential for understanding their biological functions and clinical applications. Here, this study introduces an integrated platform that combines engineer... read more

Artificial Intelligence Medical Compendium