all AI news
Can Machine Learning Give Us Faster and Cheaper Clinical Trials? (On Trial Design, Historical Controls, and Clinical Prediction Models)
Feb. 12, 2024, 4:21 p.m. | /u/Zawadscki
Data Science www.reddit.com
In drug development, where the median clinical trial costs about $48 million, biotech companies face the major challenge of balancing expenses with the need for robust, well-designed, and sufficiently large clinical trials. This reality has motivated software companies like Unlearn.AI to pioneer machine learning (ML) applications to boost clinical trial efficiency. …
applications biotech boost challenge clinical clinical trial clinical trials companies costs datascience development drug development edge efficiency face machine machine learning major methodology reality robust software
More from www.reddit.com / Data Science
What would you call a model that by nature is a feedback loop?
1 day, 10 hours ago |
www.reddit.com
Career networking question
1 day, 14 hours ago |
www.reddit.com
Estimating value and impact on business in data science
1 day, 20 hours ago |
www.reddit.com
Impact of LLMs on Nature of and Demand for Data Science
2 days, 5 hours ago |
www.reddit.com
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Scientist
@ Publicis Groupe | New York City, United States
Bigdata Cloud Developer - Spark - Assistant Manager
@ State Street | Hyderabad, India