AIMC Topic: Humans

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Artificial Intelligence-Coupled Self-Calibrating SERS Spectroscopy for Robust Clinical Diagnosis of Diabetes and Associated Complications.

Analytical chemistry
Diabetes mellitus (DM), a prevalent metabolic disorder, poses significant diagnostic and therapeutic challenges, especially, in the early stage diagnosis of diabetes related complications. Accurate early stage diagnosis of diabetes and its complicati...

A comparative assessment of AI and manual transcription quality in health data: insights from field observations.

The New Zealand medical journal
AIM: This study explores the semantic similarities between qualitative research transcripts produced by artificial intelligence (AI) and those transcribed manually, with a particular focus on challenges encountered when working with multicultural par...

Decellularized tumor matrices as biomimetic cancer niche: a new perspective on cancer research and therapy.

Biomedical materials (Bristol, England)
Cancer is among the major causes of mortality, responsible for approximately 15% of all deaths worldwide. Despite remarkable progress in modern medicine, it remains a significant global health challenge. Nevertheless, conventional therapies such as c...

Dual-arc VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning.

Physics in medicine and biology
To develop and evaluate a deep reinforcement learning (RL) framework for rapid and automatic machine parameter optimization of volumetric modulated arc therapy (VMAT) treatment plans for localized prostate cancer.A multi-task policy network combining...

Drug repurposing identifies novel Wee1 kinase inhibitors for triple negative breast cancer therapeutics.

European journal of medicinal chemistry
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options. Wee1 kinase, a critical regulator of the G2/M checkpoint and DNA replication, is a promising therapeutic target. However, dose dependent as...

New chemicals fuel the evolution of microbial biodegradation.

Microbiology and molecular biology reviews : MMBR
Most known chemicals originate from humans, thousands enter industrial usage annually, and new chemicals pose a continuous challenge to microbial evolution. The evolution of microbes to biodegrade new chemicals is crucial in protecting human and ecos...

Association of deep learning-derived optic nerve morphology with Parkinson's disease and drug-induced Parkinsonism: Findings from the LIFE Study.

Journal of the neurological sciences
BACKGROUND: There is a growing need for alternative imaging measures to better understand the neurodegenerative pathology of Parkinson's disease and related conditions, such as drug-induced Parkinsonism. This study investigated the link between optic...

Vibe Coding in nephrology education: clinician-led, AI-assisted development of open-source interactive learning tools.

Renal failure
Medical education increasingly incorporates digital technologies; however, many tools remain passive and text-based. is a clinician-led design framework that embeds expert reasoning and the cognitive 'feel' of clinical decision-making into interacti...

Multi-omics and machine learning identify GBP2 as a key therapeutic target of Qingre Kasen granules in lupus nephritis via NF-kappaB modulation.

Renal failure
Lupus nephritis (LN), a severe renal complication of systemic lupus erythematosus (SLE), results from immune abnormalities. Qingre Kasen granules (QS), which have chicory as the main ingredient, play a significant role in treating various inflammator...

Critical care challenges after gastrointestinal surgery.

Current opinion in critical care
PURPOSE OF REVIEW: This review addresses the critical care challenges encountered after gastrointestinal surgery, emphasizing the high incidence of postoperative complications and the pivotal role of early recognition and management in improving pati...