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Digital clinical decision support algorithm substantially reduced antibiotic prescribing without compromising clinical recovery, according to non-randomized controlled trial in 32 Rwandan health centers

A digital clinical decision support algorithm substantially reduced antibiotic prescribing in pediatric outpatient care in Rwanda, according to a non-randomized controlled trial. The study found no compromise in clinical recovery, suggesting the algorithm's effectiveness in guiding appropriate treatment.

SourcePLOS·JournalPLOS Medicine·TypeExperimental study·DateFeb 26, 2026

Gallbladder cancer could soon be detected in blood, study finds

A study by Tezpur University and University of Illinois has identified distinct metabolic patterns in blood that can distinguish gallbladder cancer cases from noncancerous conditions. The researchers detected hundreds of altered metabolites and identified markers with high diagnostic accuracy for each condition.

Study finds no evidence of persistent tick-borne infection in people who link chronic illness to ticks

Researchers studied Norwegians with reported chronic health problems linked to tick bites, finding no objective evidence of persistent infections. The study suggests that physical activity and labour force participation may be more related to symptoms than tick exposure.

SourceNorwegian University of Science and Technology·JournalBMC Infectious Diseases·TypeObservational study·DateFeb 25, 2026

New study predicts real-world impact of using smartwatches to detect undiagnosed high blood pressure

A new analysis found that wearing an Apple Watch with hypertension notifications can increase the probability of having hypertension in younger adults, while decreasing it in older adults. The study also revealed racial and ethnic disparities in cardiovascular health, highlighting the need for targeted screening and treatment.

SourceUniversity of Utah Health·JournalJAMA·TypeData/statistical analysis·DateFeb 9, 2026

HKUMed–Dentistry study discovers brain microenvironment redefines metastatic tumour subtypes, facilitating precision oncology treatment

Researchers identified four distinct brain metastasis subtypes, each with unique immune landscapes and metabolic programmes. The 'Immune-infiltrated subtype' showed high sensitivity to immunotherapy, while the 'Metabolic subtype' responded well to targeted therapies. The study paves the way for personalized treatment strategies.

SourceThe University of Hong Kong·JournalNature Communications·TypeExperimental study·DateFeb 5, 2026

Validation of SOFA-2 score in sepsis and exploration of its extension with additional immune markers

The study validates the use of SOFA-2 in sepsis care and research, demonstrating its ability to identify clinically meaningful organ dysfunction. The findings suggest that incorporating immune markers may not improve predictive performance, highlighting the biological complexity of sepsis.

SourceJournal of Intensive Medicine·JournalJournal of Intensive Medicine·TypeObservational study·DateFeb 3, 2026

Treatment initiation is possible with a positive liquid biopsy in primary central nervous lymphoma patients with difficult-to-access lesions

Researchers successfully diagnosed and treated ten PCNSL patients using liquid biopsy, detecting hotspot MYD88 L265P mutations in circulating tumor DNA. This method offers a reliable alternative to surgical biopsies for patients with difficult-to-access lesions or frailty, enabling timely treatment initiation.

SourceNiigata University·JournalNeuro-Oncology Advances·DateJan 27, 2026

New blood test shows extent of brain injury after stroke – and reveals treatment effects

A new blood biomarker, brain-derived tau (BD-tau), tracks the extent of brain injury after ischemic stroke over time. It also predicts patient outcomes months to years later and detects differences associated with successful vessel reopening. BD-tau has potential applications for other neurological conditions.

SourceLudwig-Maximilians-Universität München·JournalScience Translational Medicine·DateJan 15, 2026

A CRISPR fingerprint of pathogenic C. auris fungi

A new diagnostic platform enables rapid and accurate detection of drug-resistant C. auris pathogens using CRISPR technology, allowing for more effective treatment and prevention of hospital outbreaks. The dSHERLOCK test can detect the presence of mutations causing antimicrobial resistance in just 40 minutes.

SourceWyss Institute for Biologically Inspired Engineering at Harvard·JournalNature Biomedical Engineering·TypeExperimental study·DateJan 14, 2026

How do health care professionals determine eligibility for MAiD?

Healthcare professionals in Canada assess applicants for medical assistance in dying (MAiD) using a careful and individualized approach. They consider the patient's life circumstances, support networks, and personal preferences when determining eligibility. The assessment process is often legally and morally complex, requiring provider...

SourceCanadian Medical Association Journal·JournalCanadian Medical Association Journal·TypeSurvey·DateJan 12, 2026

Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

A novel deep learning model, LA-TextCNN-BiLSTM, has been developed to improve the accuracy of automatic disease classification using ICD-11 for Chinese Electronic Medical Records (EMRs). The model achieved an 83.86% accuracy rate and demonstrated robust performance in multi-label classification.

SourceKeAi Communications Co., Ltd.·JournalInformatics and Health·TypeComputational simulation/modeling·DateJan 11, 2026

Chongqing Medical University team: dual-branch graph attention network enables personalized prediction of ECT efficacy in adolescent depression

A team from Chongqing Medical University developed a model that integrates sMRI and fMRI data to predict treatment responders, achieving high accuracy rates. The dual-branch graph attention network (DBGAN) captures coordinated brain changes linked to emotion regulation and memory processing.

SourceKeAi Communications Co., Ltd.·JournalMeta-Radiology·TypeImaging analysis·DateJan 11, 2026

Automatic label checking: The missing step in making reliable medical AI

A team of researchers at Osaka Metropolitan University has created two models to detect and fix common labeling errors in large radiographic collections. The models achieved high accuracy rates for body-part classification and projection/orientation detection, showing promising results for improving deep-learning models in medical AI.

SourceOsaka Metropolitan University·JournalEuropean Radiology·TypeObservational study·DateDec 24, 2025

China’s 2024 Gastroenterology Report: marked progress in endoscopy quality and disease management

The 2024 report shows improved care quality and accessibility across China, with a rise in early gastrointestinal cancer detection and improved colonoscopy quality indicators. Despite progress, regional disparities persist and costly treatments for IBD remain a challenge.

SourceChinese Medical Journals Publishing House Co., Ltd.·JournalChinese Medical Journal·TypeData/statistical analysis·DateDec 23, 2025

NUS Medicine scientists identify potential therapy and diagnostic markers for cerebral malaria

Researchers found that methylene blue can reverse brain damage caused by cerebral malaria and identified a nine-gene blood signature to diagnose the disease. The study's findings offer new clues on immune processes involved in brain injury and suggest potential for early intervention and clearer treatment decisions.

Shifting pathways: Community and healthcare-associated transmission of mpox in the Democratic Republic of the Congo and Europe

Researchers describe first reported mpox transmission of clade Ib in a healthcare setting outside Africa, with Ireland's nosocomial outbreak linked to local cases. In the Democratic Republic of Congo, community transmission shifted from sexual to non-sexual routes, driven by factors like overcrowding and child malnutrition.

SourceEuropean Centre for Disease Prevention and Control (ECDC)·JournalEurosurveillance·TypeObservational study·DateDec 19, 2025

Sophisticated neuroimaging reveals PTSD in WTC responders is linked to measurable physical changes in brain structure

A study among WTC responders with chronic PTSD found measurable physical changes in their brain structure, including cortical changes and imbalance of myelinated to unmyelinated neurons. These changes were most strongly associated with re-experiencing symptoms in individuals with PTSD.

SourceElsevier·JournalBiological Psychiatry Cognitive Neuroscience and Neuroimaging·TypeImaging analysis·DateDec 17, 2025

AI model helps diagnose often undetected heart disease from simple EKG

Researchers developed an AI model that can detect coronary microvascular dysfunction using a common electrocardiogram, outperforming previous models in diagnostic tasks. The model can accurately identify a condition often missed in emergency department visits, providing a cost-effective and non-invasive way to diagnose serious heart co...

SourceMichigan Medicine - University of Michigan·JournalNEJM AI·TypeComputational simulation/modeling·DateDec 16, 2025

Identification of an immuno-inflammatory biomarker in the brain supports potentially more effective personalized treatment for major psychiatric disorders

A study published in Biological Psychiatry identifies a distinct immuno-inflammatory biomarker in the brain linked to immune system dysfunction and poorer response to standard treatments. The findings provide potential value for clinical prediction and precision therapies.

SourceElsevier·JournalBiological Psychiatry·TypeImaging analysis·DateDec 11, 2025

FAU engineers decode dementia type using AI and EEG brainwave analysis

Researchers at Florida Atlantic University have developed a deep learning model that detects and evaluates Alzheimer's disease (AD) and frontotemporal dementia (FTD) using EEG brainwave analysis. The model achieved over 90% accuracy in distinguishing individuals with dementia from cognitively normal participants.

SourceFlorida Atlantic University·JournalBiomedical Signal Processing and Control·TypeComputational simulation/modeling·DateDec 10, 2025

Uncovering the dynamics of sugar–protein interactions

Researchers developed a novel magnetic biosensing technique using polydopamine-coated magnetoliposomes to monitor lectin-glycan binding. The technique provides insight into the dynamics of sugar-protein interactions and holds promise for medical diagnostics, glycoscience research, and drug discovery.

SourceInstitute of Science Tokyo·JournalACS Applied Materials & Interfaces·TypeExperimental study·DateDec 9, 2025

Intelligent hydrogel microstructures enable the precise application of force to cellular systems

Scientists at Max Planck Institute develop a novel lab-on-a-chip system using intelligent hydrogel structures to simulate spatially and temporally controlled mechanical perturbations of biological polymer networks. The system applies precise pressure forces to cellular microenvironments, enabling research into biomechanical interaction...

SourceMax Planck Institute for the Science of Light·JournalLab on a Chip·TypeExperimental study·DateDec 2, 2025