Viruses

David Baltimore, a former Institute Professor at MIT and a Nobel laureate, has passed at the age of 87, reports Gina Kolata for The New York Times. Baltimore’s work rocked “the foundation of the fledging field of molecular biology,” writes Kolata. His “Nobel-winning discovery [upended] what was called the central dogma, which stated that information in cells flowed in only one direction — from DNA to RNA to the synthesis of proteins. Dr. Baltimore showed that information can also flow in the reverse direction, from RNA to DNA.” 

Researchers from MIT and elsewhere have developed a new vaccine that “could be potentially used against a broad array of coronaviruses like the one that causes Covid-19 and potentially forestall future pandemics,” reports Alex Knapp for Forbes. “The vaccine involves attaching tiny pieces of virus that remain unchanged across related strains to a nanoparticle,” explains Knapp.

Writing for STAT, Prof. Kevin Esvelt explores how, “the immense potential benefits of biotechnology are profoundly vulnerable to misuse. A pandemic caused by a virus made from synthetic DNA — or even a lesser instance of synthetic bioterrorism — would not only generate a public health crisis but also trigger crippling restrictions on research.” Esvelt adds: “The world has too much to gain from the life sciences to continue letting just anyone obtain DNA sufficient to cause a pandemic.” 

Researchers at MIT and elsewhere developed an artificial intelligence predictive model that can be used to detect which strains of Covid-19 could become dominant and lead to a new wave of illness, reports Ruth Reader, Carmen Paun, Daniel Payne and Eric Schumaker for Politico. The model, “found three strong predictors of a dominant variant: the number of infections a strain causes in its first week relative to the number of times it appears in sequencing, the number of mutations in the spike protein, and the number of weeks since the current dominant variant began circulating,” they note.

Prof. Rudolf Jaenisch speaks with Fortune reporter Carolyn Barber about the immune system’s response to Covid-19. “The immune system is really stimulated–it’s in hyperdrive,” says Jaenisch. 

Prof. Kevin Esvelt and his students have found that language-generating AI models could make it easier to create pandemic potential pathogens, reports Kelsey Piper for Vox.

MIT researchers and an undergraduate class found that chatbots could be prompted to suggest pandemic pathogens, including specific information not commonly known among experts, reports Ryan Health for Axios. The MIT researchers recommend "pre-release evaluations of LLMs by third parties, curating training datasets to remove harmful concepts, and verifiably screening all DNA generated by synthesis providers or used by contract research organizations."

Science reporter Robert F. Service spotlights how Prof. Kevin Esvelt is sounding the alarm that “AI could help somebody with no science background and evil intentions design and order a virus capable of unleashing a pandemic.” 

Using an artificial intelligence system, researchers at MIT and elsewhere have developed a new Covid-19 vaccine that could be effective against current and future strains, reports Gwen Egan for Boston.com. “The vaccine differs from others currently on the market due to the portion of the virus being targeted,” writes Egan.  

Boston Globe reporter Hiawatha Bray writes that MIT researchers have used an AI system to identify a potential new Covid-19 vaccine that may be effective against both current and future variants of the virus. “The new vaccine targets a portion of the COVID virus that is much less prone to evolve,” writes Bray. “That could potentially make it effective against many different versions of the virus, eliminating the need for routine booster shots.”

MIT researchers have developed a new approach to vaccines that uses “a machine learning twist [that] could put an end to boosters and seasonal variant shots,” reports Devin Coldewey for TechCrunch.

Vox reporter Kelsey Piper writes that a new report by Prof. Kevin Esvelt provides a roadmap for how to prepare for the next pandemic. In the report, Esvelt emphasizes that: “We’re not helpless, whether against nature or malign actions by human beings. We do have to invest in actually being prepared, but if we’re prepared, we could weather even a worst-case scenario: a deliberate release of a human-made virus engineered to be both extra deadly and extra contagious.”

Newsha Ghaeli ’17 - president and co-founder of Biobot, a public health research, data and analytics firms that has developed and promoted wastewater surveillance technology - speaks with Vox reporter Muizz Akhtar about how wastewater surveillance can be used to predict and prepare for future pandemics. “Our vision is that this is a permanent infrastructure layer on our sewer systems, so that it becomes one of the core kinds of pandemic preparedness in this country and disease surveillance globally,” says Ghaeli.

Boston Globe Magazine reporter Courtney Humphries spotlights MIT startup Biobot Analytics, co-founded by Mariana Matus ’18 and Newsha Ghaeli ’17, for using their wastewater and sewage tracking technology to identify Covid -19 in communities across the United States. “Because people shed the virus in their stool before they test positive, Biobot’s data are often a leading indicator of where the infection is heading, arriving ahead of case counts by a few days,” writes Humphries.

Boston Globe reporter Pranshu Verma spotlights MIT startup Biobot Analytics, co-founded by Mariana Matus ’18 and Newsha Ghaeli ’17, for their work studying sewage data to better predict the spread of Covid-19 in communities. “For health officials, it [the data] confirms whether Covid spikes in the community are real, and not due to increased testing or other factors,” writes Verma. “Moreover, Covid levels in waste water are a leading indicator for new clinical cases, giving health officials a few days’ notice if they’ll see more sick patients showing symptoms.”