New frontiers in medicine: COVID-19 lessons push for multidisciplinary collaboration

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Covid-19 News

Medicine,Antibodies,Artificial Intelligence

Researchers highlight the need for multidisciplinary collaboration in medicine, especially in addressing transmissible illnesses, precision medicine, and data science, as learned from the COVID-19 pandemic.

By Pooja Toshniwal PahariaMay 28 2024Reviewed by Susha Cheriyedath, M.Sc. In a recent review published in the journal Frontiers in Science, researchers underline the need for multidisciplinary collaboration in medicine, particularly in transmissible illnesses, precision/personalized medicine, systems medicine, and data science, based on the lessons learned from the coronavirus disease 2019 .

About the review In the present review, researchers propose an interdisciplinary approach to medicine incorporating communicable illnesses, systems medicine, personalized medicine, data science, and public health science while using COVID-19 pandemic findings for health policy implementation. The comeback of tuberculosis and the high malaria burden in low- and middle-income countries have refocused global attention on the battle against neglected illnesses. A more comprehensive, worldwide strategy is required to avoid and alleviate the effects of future pandemics. New technologies, including synthetic biology, adjuncts, messenger ribonucleic acid constructs, and viral vectors, sped up vaccine development during the pandemic.

The COVID-19 pandemic radically changed the vaccine development process. Pre-pandemic, the development process entailed sequential phases of discovery, early-development, and phase I–III clinical trials over a period of 15 years or so. For COVID-19 vaccines, new technologies, new correlates of immunity, and early public investment allowed all steps to establish safety and efficacy to be completed in parallel within 10 months and with less financial risk to developers.

Source: Healthcare Press (healthcarepress.net)

Medicine Antibodies Artificial Intelligence Chronic Coronavirus Genetics Healthcare Machine Learning Pandemic Precision Medicine Public Health Research Respiratory SARS SARS-Cov-2 Severe Acute Respiratory Severe Acute Respiratory Syndrome Syndrome Telemedicine Vaccine Virus

 

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