A new mathematical model describes how highly concentrated antibody solutions separate into different phases, similar to an oil and water mixture. This separation can reduce the stability and shelf-life of some drugs that use monoclonal antibodies, including some used to treat autoimmune diseases and cancer. A team of scientists from Penn State and MedImmune, LLC
A model developed using artificial intelligence (AI) is better at predicting risk of death in patients with heart disease than models designed by medical experts, a new study from the Francis Crick Institute shows. The study, published in PLOS One, adds to the growing evidence that AI could revolutionise healthcare in the UK and beyond.
Cancer patients are commonly treated with the maximum dose they are able to withstand that does not cause too many toxic side effects. However, many patients become resistant to these treatments and develop cancer recurrence. Researchers at Moffitt Cancer Center are using mathematical modeling based on evolutionary principles to show that adaptive drug treatments based
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