9 Notable AI Companies in Clinical Research to Watch in 2023

by Irina Bilous    , Andrii Buvailo, PhD          Biopharma insight / Biopharma Insights

Disclaimer: All opinions expressed by Contributors are their own and do not represent those of their employers, or BiopharmaTrend.com.
Contributors are fully responsible for assuring they own any required copyright for any content they submit to BiopharmaTrend.com. This website and its owners shall not be liable for neither information and content submitted for publication by Contributors, nor its accuracy.

   17861    Comments 2
Topics: Biotech Companies   
Share:   Share in LinkedIn  Share in Reddit  Share in X  Share in Hacker News  Share in Facebook  Send by email

The clinical trial is a critical stage of drug development workflow, with an estimated average success rate of about 11% for drug candidates moving from Phase 1 towards approval. Even if the drug candidate is safe and efficacious, clinical trials might fail due to the lack of financing, insufficient enrollment, or poor study design.

Artificial Intelligence (AI) is increasingly perceived as a source of opportunities to improve the operational efficiency of clinical trials and minimize clinical development costs.  Typically AI vendors offer their services and expertise in the three main areas. AI start-ups in the first area help to unlock information from disparate data sources, such as scientific papers, medical records, disease registries, and even medical claims by applying Natural Language Processing (NLP). This can support patient recruitment and stratification, site selection, and improve clinical study design and understanding of disease mechanisms. As an example, about 18 % of clinical studies fail due to insufficient recruitment, as a 2015 study reported.

Another aspect of success in clinical trials is improved patient stratification. Since trial patients are expensive - the average cost of enrolling one patient was $15,700-26,000 in 2017 -- it is important to be able to predict which patient will have greater benefit or risk from treatment. AI-driven companies operate with multiple data types, such as Electronic Health Records (EHR), omics, and imaging data to reduce population heterogeneity and increase clinical study power. Vendors could use speech biomarkers to identify neurological disease progression, imaging analyses to track treatment progression, or genetic biomarkers to identify patients with more severe symptoms.

RELATED: The Rise of Decentralized Clinical Trials: 10 Companies Pushing the Field Forward

AI is also streamlining the operational processes of clinical trials. AI vendors help to track patient health from their homes, monitor treatment response, and patient adherence to the trial procedures. By doing that AI companies decrease the risk of patient dropouts, which accounted for 30% on average.  Usually, the Phase 3 clinical study stage requires 1000-3000 participants, with a part of them taking a placebo. That’s why the development of synthetic control arms - AI models that could replace the placebo-control groups of individuals thus reducing the number of individuals required for clinical trials - might become a novel trend.

Below we summarize a list of notable AI vendors providing advanced tools for clinical development. 



ConcertAI (formerly, Concerto HealthAI) is a US-based company founded in 2017. The company provides real-world evidence (RWE) services for precision oncology. It has established the broadest clinical network through partnerships and licensing with community oncology networks, thus getting access to Electronic Medical Records, Results of NGS diagnostics, and patient-reported outcomes. Concerto then analyzes such data and generates evidence for new therapeutic approaches.

In 2023, ConcertAI launched its CTO 2.0 solution to enhance the design and execution of clinical trials by leveraging expanded data assets from public sources, which include site- and physician-level trial information. Through collaborations with data partners, the system offers operational trial metrics and site profile data, emphasizing the capabilities and performance of study centers. Furthermore, the CTO 2.0 integrates social determinants of health information at the site, physician, and patient levels, aiming to automate trial site selection using a data-driven methodology. The platform's SaaS technology aligns with FDA mandates, enabling research scalability through advanced clinical informatics and data standards.

The company raised a total of $300 million from a number of investors, with the latest $150 million Series C round from Sixth Street. 



Saama is a Silicon Valley-based company that was founded in 1997, but it raised its first venture capital in 2015. The company has raised more than $500 million in venture capital, including the latest mega-round of $430 million from Carlyle and venture funds from Merck, Pfizer, Amgen, McKesson, and others, with a transfer of company control. 

Continue reading

This content available exclusively for BPT Mebmers

Topics: Biotech Companies   

Share:   Share in LinkedIn  Share in Reddit  Share in X  Share in Hacker News  Share in Facebook  Send by email


  • Marina T. 2021-07-04 13:30

    Research in this area is very interesting but controversial in my opinion. In clinical trials, there is always a human factor that can play a huge role. But the ideas are indeed very ambitious and, if done well, can move medicine forward. I especially liked Owkin, their developments on identifying severe cases can greatly help people.

    • BiopharmaTrend 2023-11-07 00:54

      Thank you for your reply, Marina. We believe AI is a great enabler of human logic and creativity. Human-in-the-loop is the strategy to move forward with AI adoption, including clinical trails research.


Leave a Reply

Your email address will not be published. Required fields are marked *