Role of AI in Translational Medicine

AI is playing an increasingly important role in translational medicine, a field that bridges basic research and clinical practice. Despite its potential, AI in translational medicine faces challenges related to data quality, privacy, and the need for rigorous validation. In this Research Topic, we will explore the current state of AI in translational medicine and the challenges presented by this new reality.

AI algorithms can analyze vast patient data, including genomic information and imaging data, to personalize treatment approaches and accelerate drug discovery. This includes identifying potential drug candidates, predicting drug efficacy, and optimizing patient-specific therapies. AI can also be used to monitor patients remotely and track their progress, leading to earlier identification of issues and better outcomes. Additionally, AI can analyze patient data to identify individual responses to treatments, resulting in more targeted and effective therapies.

Ongoing research on the influence of AI in translational medicine is focused on improving the accuracy and reliability of AI algorithms, ensuring data privacy and security, and addressing potential biases in AI models. As AI technologies continue to advance, they are expected to play an even more significant role in improving patient care and outcomes in the future. This themed article collection will focus on cutting-edge research that addresses how to reliably implement AI in translational science.

Topics of interest for this collection include:

• How AI has shaped translational medicine

• What AI has replaced/generated in this process

• Role of AI in personalized treatment

• Role of AI in drug development and delivery

• Current challenges and how these can be addressed

• Potential new problems that we could envision, and how these can be addressed

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Translational research, AI, ML, mathematical models, data types, FAIR approaches, Drug Development, Personalized Treatment

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.