Severe Covid-19 may trick the immune system into producing so-called autoantibodies that have the potential to eventually attack healthy tissue and cause inflammatory diseases, researchers warned in a paper published in Nature Communications. Another study suggests that the virus that causes Covid-19 may be getting better at traveling into the air
Researchers at the University of Illinois at Chicago published what they are calling a “first of its kind study” that found a possible direct link between neurodegenerative diseases and the herpesvirus.
A study published in Nature Communications reveals that patients who had been hospitalized with severe Covid-19 might not be totally safe after recovery, as they are more likely to harbor self-attacking antibodies than those who did not have the virus.
A study found potential in a novel gene therapy method to help children born with a rare genetic and neurodegenerative disorder, AADC deficiency.
Researchers at Massachusetts General Hospital developed an artificial intelligence (AI) that quickly identifies drugs currently available that might treat Alzheimer’s disease.
A single-patient study conducted by British scientists found that Gilead’s remdesivir could be highly effective against Covid-19, raising questions about previous studies that found the antiviral drug had no impact on death rates from the disease.
According to a study published in Nature Communications, enzymes that are used by bacteria to break down mucus in the gut can potentially be useful biomarkers for intestinal diseases.
Nanobodies derived from llamas have neutralized the SARS-CoV-2 spike in the lab, effectively neutralizing the virus, according to research from the UK’s Rosalind Franklin Institute.
Investigators at the Case Western Reserve University School of Medicine identified a previously unknown gene and the resultant protein that may potentially slow the progress of Alzheimer’s disease.
Researchers at the University of Strathclyde in Glasgow, Scotland, potentially developed a blood test for brain cancer using high-throughput attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy with machine learning.