AIMC Topic: Precision Medicine

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Artificial Intelligence-Powered Patient Education for Comprehensive and Individualized Understanding for Patients.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

Toward Explainable Artificial Intelligence for Precision Pathology.

Annual review of pathology
The rapid development of precision medicine in recent years has started to challenge diagnostic pathology with respect to its ability to analyze histological images and increasingly large molecular profiling data in a quantitative, integrative, and s...

Machine learning: a powerful tool for identifying key microbial agents associated with specific cancer types.

PeerJ
Machine learning (ML) includes a broad class of computer programs that improve with experience and shows unique strengths in performing tasks such as clustering, classification and regression. Over the past decade, microbial communities have been imp...

Polygenic modelling and machine learning approaches in pharmacogenomics: Importance in downstream analysis of genome-wide association study data.

British journal of clinical pharmacology
Genome-wide association studies (GWAS) have identified genetic variations associated with adverse drug effects in pharmacogenomics (PGx) research. However, interpreting the biological implications of these associations remains a challenge. This revie...

Bridging the Worlds of Pharmacometrics and Machine Learning.

Clinical pharmacokinetics
Precision medicine requires individualized modeling of disease and drug dynamics, with machine learning-based computational techniques gaining increasing popularity. The complexity of either field, however, makes current pharmacological problems opaq...

Machine Learning: A New Approach for Dose Individualization.

Clinical pharmacology and therapeutics
The application of machine learning (ML) has shown promising results in precision medicine due to its exceptional performance in dealing with complex multidimensional data. However, using ML for individualized dosing of medicines is still in its earl...

Opportunities and challenges of 5G network technology toward precision medicine.

Clinical and translational science
Moving away from traditional "one-size-fits-all" treatment to precision-based medicine has tremendously improved disease prognosis, accuracy of diagnosis, disease progression prediction, and targeted-treatment. The current cutting-edge of 5G network ...

Using ChatGPT to predict the future of personalized medicine.

The pharmacogenomics journal
Personalized medicine is a novel frontier in health care that is based on each person's unique genetic makeup. It represents an exciting opportunity to improve the future of individualized health care for all individuals. Pharmacogenomics, as the mai...

Disrupting the infectious disease ecosystem in the digital precision health era innovations and converging emerging technologies.

Antimicrobial agents and chemotherapy
This commentary explores the convergence of precision health and evolving technologies, including the critical role of artificial intelligence (AI) and emerging technologies in infectious diseases (ID) and microbiology. We discuss their disruptive im...