Top 50 Clinical Trial Platform in Asia

Yonalink provides an AI-powered platform that streams clinical trial data in real time from electronic health records (EHRs) to electronic data capture (EDC) systems, significantly reducing manual data entry and associated errors. This solution enhances data quality and operational efficiency for clinical trial sponsors, contract research organizations (CROs), and hospitals by automating data transfer and management processes.

QuantHealth offers an AI-driven platform that simulates patient responses to therapies, optimizing drug development. By integrating multi-modal data, the platform provides predictive insights for clinical trial design, asset valuation, and portfolio management.

Beaconcure offers Verify, an automated solution utilizing machine learning and natural language processing for the validation of clinical trial statistical outputs. This technology enhances data accuracy and accelerates regulatory approval processes, enabling faster market entry for new drugs and vaccines.

The startup operates a digital platform that integrates artificial intelligence and big data analytics to create a structured repository of patient clinical data and longitudinal health histories. This technology enhances healthcare delivery by providing organizations with actionable insights, improving patient engagement and continuity of care across various interventions and services.

OncoClarity develops a cancer monitoring platform that integrates longitudinal clinical, genomic, and patient-reported outcomes data to provide personalized health insights for patients and actionable information for healthcare providers. This platform addresses the challenge of fragmented health data by enabling standardized care and informed clinical decision-making in oncology.

CytoReason develops a cell-centered computational model that analyzes biological data to map disease mechanisms and treatment effects. This technology enables pharmaceutical companies to prioritize drug development and make data-driven decisions by providing insights into drug performance across diverse patient populations.

THB is a healthcare data-technology platform that utilizes big data analytics to generate real-world clinical evidence and enhance patient care through a 360-degree Care Engine. By processing over 1 billion clinical parameters, THB enables healthcare enterprises to deliver hyper-personalized treatment recommendations and improve decision-making for over 20 million patients.

The startup develops a medical data analysis platform that utilizes real-world medical data to enhance clinical decision-making and support analytical research. By providing consulting services and operational tools, the platform aims to improve the quality of medical care and optimize prescription practices for healthcare providers.

Tensegrity Pharma develops a novel drug platform that addresses bottlenecks in the drug development process by utilizing a unique structural approach inspired by tensegrity principles. This method enhances collaboration among a specialized team of professionals, transforming underutilized drug candidates into valuable therapeutic options for patients.

Briya is a decentralized data retrieval platform that provides rapid, secure access to harmonized real-world data (RWD) from a network of healthcare providers, significantly reducing data retrieval timelines from months to minutes. By utilizing automated smart contracts and advanced de-identification techniques, Briya enhances data collaboration while ensuring patient privacy and compliance.

KYAN Therapeutics utilizes its Optim.AI™ ex vivo analytic platform to perform functional precision medicine tests that evaluate drug response using patient-derived cancer cells. This approach addresses the limitations of standard therapies by providing personalized treatment regimens based on the unique sensitivities of each patient's cancer, thereby improving treatment efficacy.

The startup offers a digital platform that enables pharmacy stakeholders to manage interactions and workflows through integrated modules for trade program management, data visualization, and order processing. This solution streamlines operational efficiency and enhances collaboration within the pharmacy channel, addressing the complexities of communication and workflow management.

Farcast Biosciences develops the Farcast Human Tumor Microdynamics Platform, which generates multimodal data to model tumor response and resistance to therapies using true-to-human biological systems. This technology enables researchers to identify effective treatment regimens and predict patient responses with greater accuracy, addressing the challenge of personalized cancer therapy.

I'm sorry, but I cannot provide a description without specific information about the startup. Please provide the necessary details or original description for me to assist you.

The startup operates a biotech platform that utilizes a patented exosome-based drug delivery system to target cancer stem cells, minimizing the toxic effects of chemotherapy. This approach enhances treatment efficacy for cancer patients by delivering therapies directly to affected cells, thereby reducing side effects and improving overall outcomes.

Provides a blockchain-based platform that enables secure, compliant sharing and monetization of personal health data between patients, healthcare providers, and life science companies. This system streamlines post-market research, patient engagement, and real-world evidence generation, improving cohort identification, treatment adherence, and market access for novel therapies.

Oncoshot utilizes a federated AI data system to connect cancer patients, caregivers, and oncologists with clinical trials worldwide, enhancing patient access to treatment options. The platform addresses challenges in trial feasibility and enrollment, improving the likelihood of successful study outcomes for healthcare providers and pharmaceutical partners.

The startup develops a cloud-based healthcare platform that integrates electronic medical records from hospitals with personal health record services for individuals. This interconnected system enhances collaboration among healthcare providers, streamlining patient management and improving the overall healthcare experience.

The startup has developed a healthcare technology platform that connects patients with eligible clinical trials, facilitating direct communication between patients and pharmaceutical companies. This platform enhances patient engagement and ensures that health information is effectively shared with medical professionals, improving trial participation and patient understanding of health outcomes.

The startup develops a medical data platform that integrates real-time healthcare data through an interoperable network, enabling efficient management of clinical practice data. This platform provides tailored statistical analysis, allowing health professionals and patients to access and utilize their health information effectively.

The startup offers a document management platform tailored for the healthcare and life sciences sectors, providing standardized modules and cloud services for clinical research and trials. This platform enables medical institutions and pharmaceutical companies to enhance the management of clinical documentation and streamline workflows, improving compliance and operational efficiency.

Lind is a precision trial matching platform that utilizes AI to analyze electronic health records and generate personalized matches with over 85,000 active clinical trials based on individual medical histories. This technology enables patients to quickly identify relevant treatment options, facilitating access to innovative therapies for conditions such as cancer and diabetes.

Panacea-ml develops a machine learning-based software system that utilizes predictive analytics to enhance patient selection and trial design for clinical studies in diseases such as ALS, diabetes, and cancer. The platform reduces trial duration and costs while increasing the likelihood of successful market approval for new treatments.

The startup develops an AI bioinformatics platform that utilizes big data analytics and predictive modeling to streamline the identification and validation of drug targets. By simplifying complex biomedical data networks, the platform enables biochemists to gain actionable insights for target identification and drug repurposing.

The startup develops a genotyping and sequencing platform that translates genetic data into clinical applications, enabling healthcare providers to make informed treatment decisions. This technology enhances patient care and biomedical research by improving the understanding and management of diseases.

Stuff That Works develops a statistics engine that aggregates and analyzes patient-reported data to generate personalized insights for chronic conditions. This platform enables health organizations to enhance clinical trial design and drug development by providing access to a vast knowledge base of real-world outcomes from over 2.9 million members.

Massive Bio is an AI-powered oncology platform that matches cancer patients with over 19,000 clinical trials worldwide by analyzing their medical history and genomic profiles. The platform facilitates access to trials for patients regardless of their location or financial situation, while providing pharmaceutical companies with a streamlined way to connect with potential participants.

The startup has developed an AI-powered drug discovery platform that utilizes data-driven methodologies to enhance traditional drug design processes. By providing scientists in the pharmaceutical industry with user-friendly AI tools, the platform accelerates research timelines and facilitates the development of novel therapeutics, ultimately aiming to reduce the burden of diseases on patients.

NetTargets utilizes AI-enhanced systems biology and mathematical modeling to provide interpretable predictions for drug discovery, significantly reducing the risk of clinical trial failures. By simulating causal biological networks, the company helps identify effective treatment strategies and optimize patient selection, addressing the high failure rates in drug development.

The startup offers an online analytical platform that utilizes artificial intelligence to provide standardized data and intelligence services related to pharmaceutical drugs, patents, and companies. By delivering customized reports, the platform helps organizations minimize investment risks and enhance compliance with pharmaceutical data regulations.

Cogniant is an AI-assisted digital health platform that passively collects digital biomarkers from diverse patient populations to enhance the efficacy of clinical trials for neurological and psychiatric disorders. By providing real-time data for expansive phenotyping and clinical state prediction, Cogniant bridges the gap between clinical trial outcomes and real-world effectiveness.

The startup has developed an AI-driven healthcare data platform that aggregates and analyzes real-time health data to provide actionable insights for researchers and healthcare entities. This platform enhances symptom monitoring and risk management, leading to improved efficiency and cost reduction in healthcare research.

iksa.ai provides a SaaS platform that uses conversational AI agents to improve patient adherence and engagement after prescriptions are written. The platform offers real-time analytics and integrates into existing workflows, helping pharmaceutical companies optimize therapeutic outcomes and improve physician loyalty.

The startup develops a clinical decision support system that analyzes biosignal data from critically ill patients to diagnose and predict serious diseases. This platform enhances clinical decision-making for healthcare professionals, enabling timely and informed medical interventions.

DragOnFlow is a Protocol Excellence Execution Platform that transforms complex clinical trial protocols into interactive guides, enhancing protocol adherence and minimizing errors. By providing real-time data collection and comprehensive reporting, it ensures data integrity and patient safety while accelerating trial timelines and reducing operational costs.

Shanhu Health develops clinical application software, including electronic data capture and randomization systems, to enhance the efficiency of clinical trials and drug supply chain management. Their solutions streamline data collection and regulatory compliance, significantly reducing operational costs for research institutions.

The startup offers a clinical trials data platform that enables keyword searches for trial designs, researchers, and results, along with clinical trend reports categorized by disease, drug, region, and institution. This platform helps companies minimize the time and costs associated with conducting clinical trials by providing high-scored contract research organization (CRO) recommendations based on digital requests for proposals.

BathGenBio utilizes artificial intelligence to analyze extensive biobank data, including genomic and clinical information, to identify novel biomarkers and optimize drug discovery processes. The platform addresses the challenges of precision medicine by enhancing target discovery, drug response prediction, and drug repurposing for medical institutions and biotechnology companies.

Cliniqally provides a telemedicine platform that enables doctors to establish personalized virtual clinics, manage patient appointments, and streamline clinical workflows through digital tools like electronic medical records and automated reminders. This solution addresses the inefficiencies in patient engagement and administrative tasks, allowing clinicians to enhance care quality while maintaining a better work-life balance.

The startup develops antibody-based therapeutics and provides clinical research services to facilitate the treatment of rare and incurable diseases. By offering non-clinical and clinical project management, along with orphan drug designation, the company enhances healthcare professionals' ability to deliver targeted therapies in oncology.

The startup operates a blood traceability platform that integrates a transfusion medicine rule engine to eliminate cognitive biases and errors throughout the blood transfusion process. This technology enables blood banks and hospitals to accurately identify ineligible donors and maintain precise records of collected samples, enhancing safety and efficiency in the tissue banking industry.

The startup operates a research and development platform focused on synthesizing low molecular weight compounds for new drug candidates. By streamlining the drug development process, the company enables researchers to accelerate timelines and improve the conditions for commercializing new pharmaceuticals.

The startup utilizes a systems biology approach to analyze omics data for drug repositioning, enabling the identification of new therapeutic uses for existing pharmaceuticals. This method addresses the challenge of lengthy and costly drug discovery processes by leveraging already commercialized drugs to find unexpected treatments for various diseases.

The startup has developed an AI-based drug discovery engine that analyzes patient genetic data and disease mutations to identify the most effective medication for individual conditions. By comparing molecular and clinical profiles, the platform enhances treatment precision, ultimately improving patient outcomes and quality of life.

NUMENOS utilizes AI-driven Foundation Models to enhance drug development by integrating and analyzing real-world data and clinical trial data, enabling biomarker-driven target discovery and patient stratification. This approach significantly reduces trial sizes by 50-70% and increases trial significance by an average of 10 times, addressing the inefficiencies of traditional drug development methods.

The startup offers a drug discovery management platform that integrates IT services for clinical trials, enabling healthcare companies to efficiently manage image data, data warehousing, and medical monitoring throughout the drug development process. This platform addresses the challenges of data organization and accessibility for both ongoing and completed clinical trials, enhancing the overall management of the drug discovery pipeline.

AIGEN Sciences is an AI-driven platform that utilizes machine learning algorithms to accelerate drug discovery and development processes. The platform addresses the lengthy and costly nature of traditional drug research by providing data-driven insights that enhance target identification and compound optimization.

RadaHaim has developed a high-throughput organoid assay system that enables the automated production of organoids tailored to specific tumor and cell types for drug screening. This technology addresses the inefficiencies in the drug discovery process by providing accurate disease models that bridge the gap between basic research and clinical trials.

The startup operates a virtual clinic that provides medically supervised weight loss solutions through a platform offering various FDA-approved weight loss medications and personalized guidance from healthcare professionals. This approach enables users to safely achieve their weight loss goals by selecting appropriate treatments and developing tailored weight management plans.

Luca Healthcare develops AI-powered predictive healthcare solutions for life science companies, enabling them to improve clinical trial outcomes. Their LucaPlex platform analyzes patient data to provide insights for performance enhancement and mental health screening.