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A new look at the Stateville prison malaria research

Researchers at University of Utah reveal the untold story of Black prisoners who participated in malaria experiments, leading to breakthroughs in pharmacogenetics and prevention of adverse drug reactions. The study highlights the importance of acknowledging the contributions of marginalized groups in medical research.

SourceUniversity of Utah·JournalJAMA·TypeLiterature review·DateJun 11, 2025

Size matters: bioinformatics accurately detects short, fat antibiotic-resistant bacteria

Researchers from Osaka University used machine learning to assess the shapes, sizes, and other physical features of bacteria based on microscope images. The results showed that antibiotic-resistant strains were fatter or shorter than their parental strains, especially those resistant to quinolone and β-lactams.

SourceOsaka University·JournalFrontiers in Microbiology·TypeImaging analysis·DateSep 19, 2024

Researchers at the GIST develop deep learning model to predict adverse drug-drug interactions

Researchers developed a deep learning-based model to predict drug-drug interactions using gene expression data. The DeSIDE-DDI model can identify potentially dangerous pairs and act as a drug safety monitoring system, helping establish the correct usage of drugs in the development phase.

SourceGIST (Gwangju Institute of Science and Technology)·JournalJournal of Cheminformatics·TypeComputational simulation/modeling·DateMay 4, 2022

Study: Black kidney transplant patients exhibit faster clearance rates of key immunosuppressive medicine tacrolimus

A new study found that Black kidney transplant recipients exhibit a faster clearance rate of tacrolimus, an immunosuppressive drug. The study suggests that considering both sex and race when dosing tacrolimus may reduce adverse effects and enhance transplant outcomes.

SourceUniversity at Buffalo·JournalPharmacotherapy The Journal of Human Pharmacology and Drug Therapy·DateApr 18, 2022

Specific metabolic dependencies of cancer cells revealed by perturbation with tailored chemical library offer new therapeutic possibilities

Researchers identified specific metabolic vulnerabilities in leukemia cell lines, including sensitivity to PI3K and fatty acid synthase inhibitors. The study highlights the potential for targeted cancer therapy by exploiting these dependencies.

Functional precision medicine using drug sensitivity testing enables tailoring of therapy for leukemia patients

A functional precision medicine study demonstrates that treatment selection based on results from drug sensitivity testing can be clinically useful in patients with aggressive hematological cancer. The approach combines deep molecular profiling with comprehensive drug sensitivity testing to advance the therapy decision-making system.

SourceUniversity of Helsinki·JournalCancer Discovery·DateNov 17, 2021