AI Medical Compendium

Artificial intelligence-enabled personalisation of oral drug delivery: From data-driven design to on-demand manufacturing.

Advanced drug delivery reviews Mar 13, 2026

Artificial intelligence (AI) is reshaping pharmaceutical research by enabling data-intensive tasks to be performed with unprecedented speed and accuracy. While oral delivery remains the most common route of administration, it is dominated by a "one-s... read more

Self-organizing neural network-based generative AI with embedded error inflation control enhances effective knowledge extraction from preclinical studies with reduced sample size.

Pharmacological research Mar 13, 2026

Small sample sizes in preclinical research limit the extraction of reliable knowledge and hinder translational progress. We propose genESOM, a generative artificial intelligence method based on emergent self‑organizing maps. genESOM is designed to au... read more

Certainty Language Use in Pediatric Radiology: A Single-Institution Analysis.

Journal of the American College of Radiology : JACR Mar 13, 2026

BACKGROUND: Radiologists often employ diagnostic certainty phrases (DCPs) to convey levels of confidence in imaging interpretations. Prior research in adult radiology demonstrated wide variability in DCP usage, potentially complicating communication ... read more

Dose reduction for synaptic density PET imaging in Parkinson's disease.

NeuroImage Mar 13, 2026

OBJECTIVE: Dynamic PET imaging with 11C-UCB-J enables in vivo quantification of synaptic vesicle glycoprotein 2A (SV2A), with prior reports of lower synaptic density in areas such as the brainstem nuclei and substantia nigra (SN) in Parkinson's disea... read more

Homologous recombination deficiency in Ovarian cancer: The game-changer for first-line maintenance therapy.

Critical reviews in oncology/hematology Mar 13, 2026

Homologous recombination deficiency (HRD) plays a central role in the pathogenesis and therapeutic vulnerability of epithelial ovarian cancer (EOC), particularly in high-grade serous subtypes. HRD reflects the inability of tumor cells to accurately r... read more

MicroRNAs in penile cancer: challenges, opportunities, and translational perspectives.

Critical reviews in oncology/hematology Mar 13, 2026

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression, and dysregulated miRNA expression has been implicated in multiple cancer hallmarks. In penile cancer (PeCa), a rare but aggressive malignancy, evidence suggests that miRNAs c... read more

Unsupervised identification of muscle phenotypes in adults with obesity: a data-driven framework for the identification of sarcopenia in absence of a gold standard.

International journal of medical informatics Mar 13, 2026

BACKGROUND: Sarcopenia is characterized by progressive loss of skeletal muscle mass and strength and is associated with increased disability and mortality. However, the diagnosis of sarcopenia remains challenging due to the absence of a universally a... read more

Biosignatures of cognitive basic symptoms mark a distinct neurodevelopmental pathway to schizophrenia.

Brain : a journal of neurology Mar 13, 2026

Efforts to predict schizophrenia risk using biological data have been hampered by the heterogeneity of current "clinical-high-risk" (CHR-P) criteria, which pool phenomenologically and biologically distinct syndromes under a single label. In particula... read more

Two-stage transfer learning for deep learning-based prediction of lattice thermal conductivity.

Physical chemistry chemical physics : PCCP Mar 13, 2026

Machine learning promises to accelerate material discovery by enabling high-throughput prediction of desirable macro-properties from atomic-level descriptors or structures. However, the limited data available about precise values of these properties ... read more

Generative AI-Driven Discovery of Next-Generation Electrolytes for Alkali Metal Batteries.

Journal of chemical information and modeling Mar 13, 2026

Recent advances in artificial intelligence (AI) are revolutionizing materials science by unlocking unprecedented capabilities in designing novel compounds and accurately predicting their properties. Among these, graph-based machine learning (ML) algo... read more

Artificial Intelligence Medical Compendium