Share:
Peer-Reviewed Publication
Clin Transl Sci2024;17(7):e13897.July 1, 2024Journal Article

Increasing acceptance of AI-generated digital twins through clinical trial applications.

Anna A Vidovszky1, Charles K Fisher1, Anton D Loukianov1, Aaron M Smith1, Eric W Tramel1, Jonathan R Walsh1, Jessica L Ross1
1Unlearn.AI, San Francisco, California, USA.

Abstract

Today's approach to medicine requires extensive trial and error to determine the proper treatment path for each patient. While many fields have benefited from technological breakthroughs in computer science, such as artificial intelligence (AI), the task of developing effective treatments is actually getting slower and more costly. With the increased availability of rich historical datasets from p…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.