MIT All COVID-19 vaccines have gaps

The COVID-19 vaccines being developed by Moderna, Pfizer, AstraZeneca and other companies, and are currently in Phase III clinical trials, may not so well cover people of black, Asian descent but white, with a study published by the Massachusetts Institute of Technology.

The study published on Thursday in the scientific journal Cell Systems.

"Obviously there are many factors to consider, but our preliminary results show that, on average, people of Black or Asian descent could have a slightly increased risk of vaccine ineffectiveness," said one study author. David K. who is in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL from the Computer Science and Artificial Intelligence Laboratory).

His statement is included in the press release issued by MIT.

The report, entitled "Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and their Augmentation by Compact Peptide Sets," originally published (PDF) on the Bioarxiv pre-print server.

Enthusiasm has grown in recent weeks as Moderna, Pfizer and AstraZeneca announced all the initial results from the Phase III tests and showed surprisingly strong immunity rates (94% to 95%).

But according to the MIT study, many of the vaccines, including Moderna and Pfizer and AstraZeneca, have the same weakness, that is, they do not use different sets of viral particles to stimulate the same level of immune response in all humans, depending on the genetic background.

The report is based on silico computer models. Gifford and co-authors Ge Liu and Brandon Carter, two MIT CSAIL PhD students, used machine learning models to predict, based on patient data and protein models in the immune system, how likely they were to have vaccines success. This means that they have successfully stimulated an immune response in different population groups based on self-reported national type or genetic origin.

MIT's machine learning also designed a COVID-19 vaccine that could cover many more people.

The study is based on work done this summer by the team to develop two computer models that provide vaccine coverage. One, called OptiVax, predicts the stimulation of immune responses to a vaccine, and the second, called EvalVax, maps the immune response to the biochemistry of population groups based on ethnic or genetic origin.