Biomarkers predict Alzheimer’s five years before onset
The discovery of early plasma biomarkers for Alzheimer's disease could transform outcomes by enabling patients to begin treatment early.
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The discovery of early plasma biomarkers for Alzheimer's disease could transform outcomes by enabling patients to begin treatment early.
A study has found that T cells combat SARS-CoV-2 by targeting many sites on the coronavirus, not just the Spike protein.
TALEN was shown to be almost five times more efficient than CRISPR-Cas9 at locating and editing genes in heterochromatin.
The database could save substantial resources for those wanting to do pre-clinical studies of interventions for age-related diseases, said scientists.
A study has shown that patients with severe COVID-19 have significantly elevated levels of M-MDSCs in their blood compared with healthy individuals.
A team has developed a new way to discover peptide therapeutics that inhibit HDAC enzymes and are effective against cancer.
Drs Sam Cooper and Michael Briskin of Phenomic AI, discuss how artificial intelligence (AI) is enabling them to target multi-cellular interactions, such as those in the tumour stroma, for drug development.
CAR T cells modified to recognise CEACAM7 were able to eliminate pancreatic ductal adenocarcinoma cells in a late-stage model without toxic effects on healthy tissue.
A study has shown that the immune response of rhesus macaques with SARS-CoV-2 could be reproduced with a vaccine.
A research team has discovered how proteins called pioneer transcription factors turn on vital genes in cells.
A new study has shown that previous coronavirus infection may contribute to the immune response of patients infected with SARS-CoV-2.
Researchers have identified four unique subtypes of small-cell lung cancer (SCLC) following the characterisation of cell types.
Using a new compound mixture, researchers have created adaptive and regenerative stem cells from human fat cells.
Using synthetic chemistry, researchers have fused hydrophobic adjuvants with water-soluble proteins to create a new type of vaccine.
The natural language processing model trained using viral protein sequence data was able to predict promising targets for vaccines against HIV, influenza and coronaviruses.