AI Medical Compendium

Biotechnology advances and the parasitology paradigm: From genomes to multi-omics and translation.

Biotechnology advances Mar 24, 2026

Parasitic diseases impose a substantial and often underestimated burden on human and animal health, food security and economic development. Over recent decades, advances in biotechnology have expanded parasitology into a genomics-enabled field. Early... read more

Can artificial intelligence bridge the gaps for primary diabetes care in low-income and middle-income countries?

The lancet. Diabetes & endocrinology Mar 24, 2026

Artificial intelligence (AI) has the potential to improve primary diabetes care in low-income and middle-income countries (LMICs), where the rising burden of disease contrasts sharply with limited health-care resources. Emerging evidence shows the pr... read more

The alteration of the brainstem functional connectivity in the first episode and drug-native generalized anxiety disorder and its transcriptional patterns.

Psychiatry research Mar 24, 2026

BACKGROUND: Although the brainstem abnormality has been reported in anxiety disorders, there is a scarcity of research targeting the brainstem's functional aberration in generalized anxiety disorder (GAD). The underlying transcriptional basis of brai... read more

Assessment of a Deep Learning Model Trained on Permanent Pathology for the Classification of Squamous Cell Carcinoma in Mohs Frozen Sections: Lessons Learned.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Mar 24, 2026

Metagenomic analysis of the gut microbiota in Cryptosporidium-infected Tibetan sheep.

Microbial pathogenesis Mar 24, 2026

Cryptosporidium are important causative parasitic protozoa that cause gastrointestinal discomfort and diarrhea in humans and animals, posing a huge threat to public health. Ruminants serve as the main source of Cryptosporidium infection. However, the... read more

Machine learning for mortality prediction using nutritional and inflammatory markers in critically ill patients.

Clinical nutrition ESPEN Mar 24, 2026

INTRODUCTION: Malnutrition and muscle loss are key determinants of outcomes in critically ill patients, yet conventional ICU mortality scores (e.g., APACHE II, SOFA) do not incorporate nutritional status. This study aimed to develop a machine learnin... read more

Tspan4+ fibroblasts facilitate the development of NECSO in myocardial ischemia reperfusion through migrasomes-mediated Tnf-α autocrine and cardiomyocytes aldosterone generation.

Biochemical pharmacology Mar 24, 2026

Myocardial ischemia/reperfusion (I/R) is the preferred treatment for acute myocardial infarction, yet it still results in cardiomyocytes (CMs) injury. Sodium ion is essential for maintaining ionic balance and bioelectrical activity in CMs. However, w... read more

Saliency-Aware Mutual Learning for enhanced retinal Image Quality Assessment in diabetic retinopathy diagnostics.

Experimental eye research Mar 24, 2026

In computer-assisted diagnostics, assessing the quality of retinal images, especially for DR, is vital. While current Image Quality Assessment (IQA) methods lean on Transfer Learning (TL), their adaptability to specific IQA demands, especially for DR... read more

Development of hematopoietic stem cell-targeted lipid nanoparticles through lipid composition optimization.

Experimental hematology Mar 24, 2026

Hematopoietic stem cell (HSC)-targeted gene editing holds significant potential for treating hereditary hematopoietic disorders, yet the efficient and safe delivery of gene-editing tools into HSCs remains a critical challenge. Lipid nanoparticles (LN... read more

AI-discovered cellular morphometric biomarkers in needle biopsy of prostate cancer predict neoadjuvant androgen deprivation therapy response and enable therapeutic targeting of mTOR in androgen deprivation therapy-resistant tumors.

Cancer letters Mar 24, 2026

It is imperative to identify patients with prostate cancer (PCa) who will not benefit from androgen receptor signaling inhibitors and to improve their clinical outcomes. Using artificial intelligence (AI), in this multicenter cohort study of 623 PCa ... read more

Artificial Intelligence Medical Compendium