AI Vital For Rapid Identification of Drugs That Can Be Repurposed To Combat COVID-19, Says New Report
By HospiMedica International staff writers Posted on 21 Aug 2020 |
Illustration
Artificial intelligence (AI) offers significant promise for biopharmaceutical companies to speed up the drug repurposing process for finding new therapies to treat COVID-19, according to a new report.
The COVID-19 Executive Briefing report by GlobalData (London, UK; www.globaldata.com), a research, consulting and events firm, states that drug repurposing is among the fastest and safest methods to seek new therapies for the treatment of COVID-19, as the drugs are already being used for treating various existing conditions, thus reducing the possibility of adverse reactions. AI technologies are expected to play a significant role in allowing biopharmaceutical companies to shorten the time required for pre-clinical drug identification and design process.
The Innovation Explorer database of GlobalData’s Disruptor Intelligence Center has revealed how AI startups are helping identify suitable molecules that target COVID-19. For instance, BenevolentAI, a startup, is using its AI-based drug discovery platform to identify drugs that have the potential to disrupt selected viral entry pathways of COVID-19, thereby preventing the virus from replicating. Another startup Elix has harnessed various neural networks in order to predict the chemical properties of molecules with the capacity to neutralize COVID-19. Similarly, Gero, a startup, has leveraged AI to rapidly screen existing drug molecules for the treatment of COVID-19. Additionally, other startups such as Repurpose.AI and Atomwise are entering into partnerships with global research institutes to utilize their AI-powered predictive models for locating new drug molecules for the treatment of COVID-19.
“Typically developing a new drug takes almost a decade and costs anywhere between $2 billion to USD 3 billion,” said Venkata Naveen, Senior Disruptive Tech Analyst at GlobalData. “But now biopharmaceutical companies are in dire need to accelerate the entire drug development process given that COVID-19 cases and deaths are mounting every day. Under these circumstances, AI technologies allow companies to significantly shorten the pre-clinical drug identification and design process from several years to a few days or months.”
Related Links:
GlobalData
The COVID-19 Executive Briefing report by GlobalData (London, UK; www.globaldata.com), a research, consulting and events firm, states that drug repurposing is among the fastest and safest methods to seek new therapies for the treatment of COVID-19, as the drugs are already being used for treating various existing conditions, thus reducing the possibility of adverse reactions. AI technologies are expected to play a significant role in allowing biopharmaceutical companies to shorten the time required for pre-clinical drug identification and design process.
The Innovation Explorer database of GlobalData’s Disruptor Intelligence Center has revealed how AI startups are helping identify suitable molecules that target COVID-19. For instance, BenevolentAI, a startup, is using its AI-based drug discovery platform to identify drugs that have the potential to disrupt selected viral entry pathways of COVID-19, thereby preventing the virus from replicating. Another startup Elix has harnessed various neural networks in order to predict the chemical properties of molecules with the capacity to neutralize COVID-19. Similarly, Gero, a startup, has leveraged AI to rapidly screen existing drug molecules for the treatment of COVID-19. Additionally, other startups such as Repurpose.AI and Atomwise are entering into partnerships with global research institutes to utilize their AI-powered predictive models for locating new drug molecules for the treatment of COVID-19.
“Typically developing a new drug takes almost a decade and costs anywhere between $2 billion to USD 3 billion,” said Venkata Naveen, Senior Disruptive Tech Analyst at GlobalData. “But now biopharmaceutical companies are in dire need to accelerate the entire drug development process given that COVID-19 cases and deaths are mounting every day. Under these circumstances, AI technologies allow companies to significantly shorten the pre-clinical drug identification and design process from several years to a few days or months.”
Related Links:
GlobalData
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