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Digital twins as global learning health and disease models for preventive and personalized medicine.
FORCE SPECTROSCOPY AND STRUCTURAL BIOLOGY OF HAIR-CELL TIP LINKS
Genotyping Polyploids from Messy Sequencing Data.
Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk Group.
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Digital twins as global learning health and disease models for preventive and personalized medicine.
Digital twins as global learning health and disease models for preventive and personalized medicine. Genome Med. 2025 02 07; 17(1):11.
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PubMed
subject areas
Humans
Inappropriate Prescribing
Patient-Specific Modeling
Precision Medicine
Preventive Medicine
Treatment Failure
authors with profiles
Andrey Rzhetsky