Artificial Intelligence Platform Helps Find Combination Drug Treatments for COVID-19
|
By HospiMedica International staff writers Posted on 08 Apr 2020 |
|
Image: AI powered drug discovery (Photo courtesy of Healx)
Healx (Cambridge, UK), an AI-powered biotech company specializing in rare diseases, is using its AI platform to develop drug combinations from approved drugs to contribute towards global efforts to find treatments for COVID-19. This focus on combination therapies, where two or more drugs simultaneously target different aspects of the disease pathology, has the potential to ensure a more effective treatment.
Healx is an AI-powered and patient-inspired technology company, accelerating the discovery and development of rare disease treatments. Many patients in this demographic suffer from pre-existing conditions relating to the heart and respiratory system which have been associated with the highest mortality rates amongst COVID-19 patients. Given this increased vulnerability to COVID-19, and the acute need for treatments, Healx is dedicating its time, knowledge, experience and technology towards fighting the viral infection. The treatments Healx intends to develop are also likely to have wide use amongst other patients identified as vulnerable.
Healx’s AI platform, Healnet, integrates and analyzes biomedical data from multiple sources to predict those combination therapies that are most likely to succeed in the clinic. The company’s AI drug discovery platform leverages public and proprietary biomedical data and features the world’s leading knowledge graph for rare diseases. Healnet is widely regarded as the world’s most efficient and comprehensive AI platform for rare diseases. Combination therapy candidates will be available in May for preclinical testing.
“The recent spread of COVID-19 is risking the lives of millions of rare disease patients across the world. The company’s AI technology is perfectly positioned to support the efforts to find treatments for COVID-19. Healx’s data-driven AI platform is able to predict, within weeks, which known drugs can be repurposed to treat other conditions such as COVID-19,” said Dr. David Brown, Healx Chairman and Co-founder. “This approach significantly shortens discovery-to-clinic timelines. Our AI is able to combine 2-3 existing drugs to formulate the most effective treatment. This approach ensures that any potential treatments we identify can be used by clinicians to help patients very quickly.”
Related Links:
Healx
Healx is an AI-powered and patient-inspired technology company, accelerating the discovery and development of rare disease treatments. Many patients in this demographic suffer from pre-existing conditions relating to the heart and respiratory system which have been associated with the highest mortality rates amongst COVID-19 patients. Given this increased vulnerability to COVID-19, and the acute need for treatments, Healx is dedicating its time, knowledge, experience and technology towards fighting the viral infection. The treatments Healx intends to develop are also likely to have wide use amongst other patients identified as vulnerable.
Healx’s AI platform, Healnet, integrates and analyzes biomedical data from multiple sources to predict those combination therapies that are most likely to succeed in the clinic. The company’s AI drug discovery platform leverages public and proprietary biomedical data and features the world’s leading knowledge graph for rare diseases. Healnet is widely regarded as the world’s most efficient and comprehensive AI platform for rare diseases. Combination therapy candidates will be available in May for preclinical testing.
“The recent spread of COVID-19 is risking the lives of millions of rare disease patients across the world. The company’s AI technology is perfectly positioned to support the efforts to find treatments for COVID-19. Healx’s data-driven AI platform is able to predict, within weeks, which known drugs can be repurposed to treat other conditions such as COVID-19,” said Dr. David Brown, Healx Chairman and Co-founder. “This approach significantly shortens discovery-to-clinic timelines. Our AI is able to combine 2-3 existing drugs to formulate the most effective treatment. This approach ensures that any potential treatments we identify can be used by clinicians to help patients very quickly.”
Related Links:
Healx
Gold Member
CPAP Ventilator
Somnus DM18
Mammography System (Analog)
MAM VENUS
Endoscopy Display
E190
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Critical Care
view channel
Wearable Devices Could Revolutionize Pregnancy Monitoring and Detect Abnormalities
Pregnancy complications such as miscarriage and preterm birth remain major risks to maternal and child health, especially in the United States, where more than 2 million women live in maternal care deserts.... Read more
AI Model Identifies AF Patients Requiring Blood Thinners to Prevent Stroke
Atrial fibrillation (AF) is the most common abnormal heart rhythm, affecting around 59 million people globally. It increases stroke risk because quivering in the upper heart chambers allows blood clots... Read more
Surgical Techniques
view channel
Novel Method Uses Interstitial Fluid Flow to Predict Where Brain Tumor Can Grow Next
Glioblastoma is one of the most aggressive brain cancers, with patients surviving on average only 15 months after diagnosis. Surgery and radiation can temporarily control the tumor, but the disease almost... Read more
World’s First Custom Anterior Cervical Spine Surgery Performed Using Personalized Implant
Anterior cervical fusion has been performed since the 1950s and is one of the most common spine procedures. Traditional implants are designed as one-size-fits-all, which can affect spinal alignment, healing,... Read more
Patient Care
view channel
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read more
VR Training Tool Combats Contamination of Portable Medical Equipment
Healthcare-associated infections (HAIs) impact one in every 31 patients, cause nearly 100,000 deaths each year, and cost USD 28.4 billion in direct medical expenses. Notably, up to 75% of these infections... Read more
Portable Biosensor Platform to Reduce Hospital-Acquired Infections
Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more
First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read moreHealth IT
view channel
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read more
Business
view channel
Philips and Masimo Partner to Advance Patient Monitoring Measurement Technologies
Royal Philips (Amsterdam, Netherlands) and Masimo (Irvine, California, USA) have renewed their multi-year strategic collaboration, combining Philips’ expertise in patient monitoring with Masimo’s noninvasive... Read more
B. Braun Acquires Digital Microsurgery Company True Digital Surgery
The high-end microsurgery market in neurosurgery, spine, and ENT is undergoing a significant transformation. Traditional analog microscopes are giving way to digital exoscopes, which provide improved visualization,... Read more
CMEF 2025 to Promote Holistic and High-Quality Development of Medical and Health Industry
The 92nd China International Medical Equipment Fair (CMEF 2025) Autumn Exhibition is scheduled to be held from September 26 to 29 at the China Import and Export Fair Complex (Canton Fair Complex) in Guangzhou.... Read more