AI Medical Compendium

Prediction of Benign and Malignant Small Renal Masses Using CT-Derived Extracellular Volume Fraction: An Interpretable Machine Learning Model.

Academic radiology Aug 9, 2025

RATIONALE AND OBJECTIVES: We developed a machine learning model comprising morphological characteristics, enhancement dynamics, and extracellular volume (ECV) fractions for distinguishing malignant and benign small renal masses (SRMs), supporting per... read more

Dense breasts and women's health: which screenings are essential?

Clinics (Sao Paulo, Brazil) Aug 9, 2025

This review synthesizes current evidence regarding optimal breast cancer screening strategies for women with dense breasts, a population at increased risk due to decreased mammographic sensitivity. A systematic literature review was performed in acco... read more

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Drug safety Aug 9, 2025

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation viral and non-viral delivery platforms, are transforming treatment paradigms across cancer, rare genetic disorders, immune dysregulation, and neurodegene... read more

A two-step joint model based on deep learning realizes intelligent recognition of exfoliated cells in serous effusion.

Computational biology and chemistry Aug 9, 2025

Cytological examination of serous effusion is critical for diagnosing malignancies, yet it heavily relies on subjective interpretation by pathologists, leading to inconsistent accuracy and misdiagnosis, especially in regions with limited medical reso... read more

The integration of psychological education and moral dilemmas from a value perspective.

BMC psychology Aug 9, 2025

The rapid evolution of internet technologies has emphasized the importance of integrating psychological education with moral dilemmas across diverse sectors. This paper investigates the interrelationship between psychological education and moral reas... read more

Humans Deep Learning Morals Ethical Dilemmas

Ligand supplementation restores the cancer therapy efficacy of the antirheumatic drug auranofin from serum inactivation.

Nature communications Aug 9, 2025

Auranofin, an FDA-approved antirheumatic gold drug, has gained ongoing interest in clinical studies for treating advanced or recurrent tumors. However, gold ion's dynamic thiol exchange nature strongly attenuates its bioactivity due to the fast forma... read more

Humans Female Animals Neoplasms Antineoplastic Agents Cell Line, Tumor Mice Gold Sulfhydryl Compounds Ligands Xenograft Model Antitumor Assays Antirheumatic Agents Auranofin

Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis.

Communications medicine Aug 9, 2025

BACKGROUND: Anxiety is a common yet often underdiagnosed and undertreated comorbidity in multiple sclerosis (MS). While altered fear processing is a hallmark of anxiety in other populations, its neurobehavioral mechanisms in MS remain poorly understo... read more

Deep learning model for early acute lymphoblastic leukemia detection using microscopic images.

Scientific reports Aug 9, 2025

Cancer of bone marrow is classified as Acute Lymphoblastic Leukemia (ALL), an abnormal growth of lymphoid progenitor cells. It affects both children and adults and is the most predominant form of infantile cancer. Currently, there has been significan... read more

Humans Neural Networks, Computer Deep Learning Child Early Detection of Cancer Microscopy Precursor Cell Lymphoblastic Leukemia-Lymphoma

Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.

Scientific reports Aug 9, 2025

Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity and mortality. Short-chain fatty acids (SCFAs) have been proved to improve the outcome of sepsis by regulating immunity and metabolism, but its specif... read more

Humans Animals Male Gene Expression Profiling Transcriptome Sepsis Mice Multiomics Disease Models, Animal Mice, Inbred C57BL Metabolomics Mendelian Randomization Analysis Fatty Acids, Volatile Glycerophospholipids

Development and validation of neonatal jaundice detection using smartphone application.

Computers in biology and medicine Aug 9, 2025

BACKGROUND: Neonatal jaundice is highly prevalent in newborns globally, requiring vigilant monitoring to prevent severe complications such as brain damage. Current detection methods, including invasive blood tests and expensive bilirubinometers, have... read more

Artificial Intelligence Medical Compendium