AIMC Topic: Precision Medicine

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Artificial intelligence-based multi-omics analysis fuels cancer precision medicine.

Seminars in cancer biology
With biotechnological advancements, innovative omics technologies are constantly emerging that have enabled researchers to access multi-layer information from the genome, epigenome, transcriptome, proteome, metabolome, and more. A wealth of omics tec...

From big data to better patient outcomes.

Clinical chemistry and laboratory medicine
Among medical specialties, laboratory medicine is the largest producer of structured data and must play a crucial role for the efficient and safe implementation of big data and artificial intelligence in healthcare. The area of personalized therapies...

Clinical Artificial Intelligence: Design Principles and Fallacies.

Clinics in laboratory medicine
Clinical artificial intelligence (AI)/machine learning (ML) is anticipated to offer new abilities in clinical decision support, diagnostic reasoning, precision medicine, clinical operational support, and clinical research, but careful concern is need...

Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging.

Dento maxillo facial radiology
Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals based on one's biological, social, and behavioral characteristics. While personalized dental medicine is still far from being a reality, advanced artificial ...

Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased care.

Cancer treatment reviews
Artificial intelligence (AI) has experienced explosive growth in oncology and related specialties in recent years. The improved expertise in data capture, the increased capacity for data aggregation and analytic power, along with decreasing costs of ...

Efficient targeted learning of heterogeneous treatment effects for multiple subgroups.

Biometrics
In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogeneity include estimating treatment effects in clinically relevant subgrou...

Automation: A revolutionary vision of artificial intelligence in theranostics.

Bulletin du cancer
The last two decades have witnessed an extraordinary evolution of automation and artificial intelligence (AI), which has become an integral part of our daily lives. Lately, AI has also been assimilated in the field of medicine to upgrade overall heal...

Artificial Intelligence and Advanced Melanoma: Treatment Management Implications.

Cells
Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplify...

Risk Classification and Subphenotyping of Acute Kidney Injury: Concepts and Methodologies.

Seminars in nephrology
Acute kidney injury (AKI) is a complex syndrome with a paucity of therapeutic development. One aspect that could explain the lack of implementation science in the AKI field is the vast heterogeneity of the AKI syndrome, which hinders precise therapeu...

Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.

BMC cancer
BACKGROUND: Vast amounts of rapidly accumulating biological data related to cancer and a remarkable progress in the field of artificial intelligence (AI) have paved the way for precision oncology. Our recent contribution to this area of research is C...