Trends in Precision Medicine: An Interview with UCSF's Atul Butte

Area of Science:

• Biomedical Informatics
• Computational Biology
• Translational Medicine

Background:

• Precision medicine aims to tailor medical treatment to individual characteristics.
• Leveraging large patient cohorts is crucial for identifying personalized treatment strategies.
• Genomic data alone is insufficient for comprehensive personalized care.

Purpose of the Study:

• To explore the role of non-genomic factors in precision medicine.
• To discuss the impact of mobile devices on healthcare data collection.
• To examine the implications of outsourcing experimental work in biomedical research.

Main Methods:

• Review of current trends in precision medicine.
• Analysis of data from large patient cohorts.
• Discussion of technological advancements in healthcare (e.g., mobile devices).

Main Results:

• Non-genomic factors significantly contribute to patient variability.
• Mobile devices enable continuous and real-world data collection.
• Outsourcing experimental work can accelerate research and development.

Conclusions:

• Integrating diverse data sources, including non-genomic factors, is essential for effective precision medicine.
• Mobile health technologies offer new avenues for patient monitoring and data acquisition.
• Strategic outsourcing can enhance the efficiency and scope of biomedical research.