Belong.Life Creates Conversational AI SaaS Solution to Support Cancer Clinical Trials
Solution designed to accelerate the process of matching patients with eligible clinical trials.
Belong.Life has officially launched Tara, a SaaS-based conversational AI cancer clinical trial matching platform for health providers and contract research organizations (CROs). According to the company, Tara is designed to accelerate the process of matching patients with eligible clinical trials, enabling increased recruitment at significantly lower costs. Following the launch of Dave, Tara is Belong’s second AI Health Mentor suite of solutions.
"Since our founding, Belong has provided clinical trial matching services to more than 30,000 patients," said Eliran Malki, CEO, co-founder, Belong.Life, in a company press release. "Tara is a natural extension of our services, helping to optimize clinical trial matching to benefit stakeholders with increased patient recruitment, improved randomization, and reduced costs and logistical challenges. Tara will enable more patients around the world to access clinical trials."
Reference: Belong.Life Launches New Conversational AI SaaS Solution for Cancer Clinical Trial Matching and Recruitment. PR Newswire. September 13, 2023. Accessed September 14, 2023. https://www.prnewswire.com/news-releases/belonglife-launches-new-conversational-ai-saas-solution-for-cancer-clinical-trial-matching-and-recruitment-301926197.html
Reaching Diverse Patient Populations With Personalized Treatment Methods
January 20th 2025Daejin Abidoye, head of solid tumors, oncology development, AbbVie, discusses a number of topics around diversity in clinical research including industry’s greatest challenges in reaching diverse patient populations, personalized treatment methods, recruitment strategies, and more.
Optimizing Phase III Oncology Trial Recruitment with Data-Driven Insights
February 3rd 2025A pharmaceutical company aimed to launch a Phase III clinical trial for a new oncology drug, focusing on efficient and effective patient recruitment across diverse regions. They evaluated patient populations by analyzing demographics, social determinants of health, and geography. Investigator profiling included practice details, affiliations, referral networks, and clinical trial experience. The final step involved selecting and extracting target lists for implementation.
