Summary: Belong.Life provides a suite of AI-driven tools designed to support patients with chronic diseases, including cancer and multiple sclerosis. The platform offers personalized health mentors, community support, and access to a wealth of educational resources. Its key features include AI Cancer Mentor (Dave), AI MS Mentor (Sophie), AI Clinical Trials Matching Assistant (Tara), and AI Weight and Health Mentor (Fred), aiming to empower patients throughout their healthcare journey.

Summary: TrialX utilizes artificial intelligence to match patients with relevant clinical trials based on their medical profiles and health records. By importing Electronic Health Records (EHR), patients can effortlessly find clinical trials that match their health conditions and preferences. The platform aims to simplify the process of finding and participating in clinical trials, making it more accessible for patients to contribute to medical research and potentially benefit from new treatments.

Summary: Paradigm Health aims to revolutionize the clinical research process by focusing on patient care to make clinical trials more viable and valuable. The platform facilitates collaboration between all stakeholders in the clinical trial ecosystem by integrating technology and services with health provider organizations, thereby streamlining the journey from trial to treatment.

Summary: The National Marrow Donor Program (NMDP) is a global nonprofit organization dedicated to saving lives through cell therapy. They specialize in finding cures for blood cancers and other blood disorders by facilitating blood stem cell transplants. Through their work, they provide patients, caregivers, and families with the support and resources needed for the transplant process, including finding a donor, preparing for transplant, and life after transplant.

Summary: Leal Health democratizes access to advanced cancer treatment through its AI-powered decision support platform, empowering patients to take control of their cancer journey. By instantly analyzing available treatment options to match a patient's exact condition, Leal Health provides a personalized list of cutting-edge cancer treatments. The platform is dedicated to offering unbiased cancer treatment options, supported by a team of PhDs, MDs, Nurses, and Social Workers.

Summary: Trialbee Honey Platform™ revolutionizes patient recruitment by centralizing all referrals into a single funnel, offering data standardization across vendors, and providing visual ROI metrics for every partner. It delivers actionable insights for sites and candidates, streamlining the recruitment process and enhancing efficiency in clinical trials.

Summary: Inato is revolutionizing the clinical research landscape by offering a technology platform that spans early planning, site selection, and enrollment. It aims to reduce the burden on research sites and increase collaboration, making clinical trials more accessible and efficient. With over 5,500 research sites and 25 top sponsors, Inato focuses on accelerating results and expanding access to underrepresented patients.

Summary: Curebase offers a comprehensive platform designed to launch studies faster, improve data quality, and enhance patient engagement. It integrates tools for ePRO, eConsent, scheduling, notifications, and EDC, aiming to streamline the clinical trial process for researchers and participants alike. The platform is trusted by leading life sciences teams to power their clinical trials with its modern, intuitive interface and robust data management capabilities.

Summary: Antidote is a digital health company focused on bridging the gap between patients and clinical research opportunities. By leveraging a smart Match search engine, Antidote simplifies the process for patients to find relevant clinical trials, while providing sponsors with precision recruitment services to fill trials faster. This dual approach addresses the high percentage of medical research delays due to participant shortages, streamlining the path for medical advancements.

Summary: Deep 6 AI leverages advanced AI and Natural Language Processing (NLP) to mine millions of patient records, including unstructured data like physician notes, to identify eligible patients for clinical trials in real time. This approach significantly reduces the time required for patient recruitment, de-risks trials, and accelerates the entire clinical trial process, making it more efficient and effective.