The most in-depth study to date of the genetic risk factors for long COVID has identified 73 genes that are highly associated with severe or fatigue-dominant forms of the disease. Many of these genes also are known to be associated with other disorders, including myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and neurodegenerative, autoimmune, cardiovascular and metabolic diseases.
The pace at which companies are integrating the sophisticated tools of artificial intelligence (AI) and machine learning (ML) into their drug discovery and development programs continues to accelerate.
LONDON – Computational biology specialist Precisionlife Ltd. has used UK Biobank data to find sepsis risk genes that are present specifically in patients who suffer severe COVID-19 infections and shown that 13 of those genes are known druggable targets.