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This article explores the integration of evidence-based medicine and personalized approaches in managing heart failure and inherited cardiomyopathies, proposing a framework to optimize patient care by harmonizing standardized guidelines wit
This article reviews data-driven diabetes subtypes in East Asians, highlighting unique pathological features, genetic influences, and complication risks, emphasizing personalized treatment strategies for optimized care.
This study introduces a validated machine learning tool providing personalized probability scores to improve cochlear implant candidacy screening, surpassing traditional rules by enabling tailored patient counseling and identifying borderli
This study reveals significant HbA1c and glucose discrepancies, especially in Black individuals, and introduces a personalized HbA1c correction (pA1C) that enhances diabetes management across racial groups.
A randomized trial shows reperfusion-guided blood pressure management post-thrombectomy improves functional outcomes and reduces hemorrhagic transformation, supporting personalized BP targets based on reperfusion status.
Genomic alterations in primary gastric tumors, including KRAS and PIK3CA mutations, correlate with recurrence risk and metastatic patterns, informing personalized postoperative surveillance and treatment strategies.
IBDome offers a comprehensive multiomic atlas integrating molecular, histopathological, and clinical data, advancing the understanding and precision treatment of Crohn’s disease and ulcerative colitis.
ORBITA-FIRE study reveals personalized physiological thresholds for angina that are lower than current diagnostic standards. These thresholds vary during exercise and predict PCI treatment success, challenging universal ischemia-based guide
Secondary analysis of the MYRIAD trial reveals that while machine learning models can identify adolescents who may benefit from school-based mindfulness training, the clinical relevance of such predictions remains minimal. Both causal fores
Expert consensus highlights a shift in shock treatment, emphasizing that standardized protocols must give way to personalized, physiology-driven bedside care to prevent iatrogenic injury and improve survival.
A randomized trial found personalized, remotely coached prehabilitation improved preoperative physical and cognitive function, produced distinct immunologic dampening of inflammatory signaling, and reduced moderate-to-severe postoperative c
This study explores how biological sex influences CRS diagnosis and inflammatory biomarkers, revealing sex-specific patterns that could inform personalized treatment.
This clinical trial prospectively evaluates how a 12-gene expression assay (DCIS score) guides postoperative radiotherapy decisions after breast-conserving surgery in ductal carcinoma in situ, showing tailored radiotherapy use may reduce ip
A new AI model, Delphi-2M, predicts the risk of over 1,000 diseases up to 20 years in the future with remarkable accuracy, transforming disease prevention and personalized health management.
The AID-ME trial demonstrates that an AI-powered clinical decision support system significantly improves remission rates and accelerates symptom improvement in moderate to severe major depressive disorder.
Artificial intelligence is dramatically transforming pharmaceutical R&D by accelerating drug discovery, formulation, and clinical trials, while presenting new opportunities and challenges for the industry, especially in China.
Explore how personalized medicine uses DNA to tailor treatments and improve health outcomes.
AI-powered protein design offers a fast, personalized approach to cancer treatment, enhancing immune response and minimizing side effects.