How neurons form long-term memories
A Harvard Medical School study in mice reveals how memory neurons reorganize after new experiences.
Dec. 9, 2020 • ~9 min
science-technology memory harvard-medical-school blavatnik-institute fos
Machine learning models predict mice lifespan
Researchers have built two machine learning models that gauge biological age and predict remaining lifespan in mice.
Sept. 15, 2020 • ~7 min
science-technology machine-learning harvard-medical-school blavatnik-institute aging david-sinclair alice-kane michael-schultz
To stem coronavirus crisis, scientists forge ahead on 6 key fronts
The newly formed Massachusetts Consortium on Pathogen Readiness aims to address both the immediate and long-term implications of the coronavirus crisis. The effort, led by Harvard Medical School, will work to stem the tide of COVID-19 but, more importantly, to lay the groundwork for dealing with future pandemics.
April 1, 2020 • ~11 min
covid-19 coronavirus basic-research harvard-medical-school health-medicine blavatnik-institute sars-cov-2-pandemic
Carrot-and-stick system appears to slow growth of health costs
Study led by Harvard researchers finds that a long-term trial of a capped-payment system encouraged preventative care and discouraged unnecessary spending
July 15, 2019 • ~7 min
harvard-medical-school health-medicine blavatnik-institute department-of-health-care-policy insurance jake-miller the-new-england-journal-of-medicine
Study: Capping medical residents’ hours doesn’t hurt quality of care
Hours of medical residents were capped at 80 per week in 2003 after a string of patient injuries and deaths, spurring fears that doctors-in-training would be less prepared for independent practice than before. A new study suggests their warnings were largely unjustified.
July 11, 2019 • ~5 min
harvard-medical-school health-medicine blavatnik-institute massachusetts-general-hospital anupam-jena jake-miller accreditation-council-for-graduate-medical-education daniel-blumenthal harvard-university jayanta-bhattacharya medical-education medical-residents monica-farid physicians stanford-university
Harvard scientists uncover key allowing deadly viruses to replicate
Scientists uncover a key mechanism that allows some of the deadliest human RNA viruses to replicate, and it resides in the tail end of the viruses. The findings identify new targets to inhibit viral replication and may inform the development of a new class of antiviral drugs.
May 17, 2019 • ~5 min
harvard-medical-school health-medicine hms blavatnik-institute bunyaviruses jess-pyle la-crosse-virus lassa-fever-virus machupo-virus rift-valley-fever rna-virus sean-pj-whelan
Harvard undergrad’s AI model helps to predict TB resistance
A Harvard undergrad, working with Harvard Medical School scientists, has designed an artificial intelligence model that predicts tuberculosis resistance to 10 most commonly used drugs. The new model outperforms previous machine-learning tools, and incorporating it into clinical tests could dramatically enhance early detection and prompt treatment of drug-resistant TB.
May 2, 2019 • ~11 min
science-technology harvard-medical-school hms blavatnik-institute harvard-th-chan-school-of-public-health massachusetts-general-hospital mgh akshith-doddi analysis-group andy-beam bill-and-melinda-gates-foundation critical-path-institute drug-resistance ebiomedicine gentb isaac-kohane jimmy-royer luca-freschi marco-schito masha-farhat matthew-ezewudo mdr-tb michael-chen tb tuberculosis university-of-virginia-school-of-medicine xdr-tb
Harvard Medical School develops AI to see visual cortex’s preferences
New computer program uses artificial intelligence to determine what visual neurons like to see. The approach could shed light on learning disabilities, autism spectrum disorders, and other neurologic conditions.
May 2, 2019 • ~5 min
science-technology artificial-intelligence cell ai harvard-medical-school hms blavatnik-institute neurobiology macaques margaret-livingstone will-xiao
Harvard undergrad’s AI model predicts TB resistance
A Harvard undergrad, working with Harvard Medical School scientists, has designed an artificial intelligence model that predicts tuberculosis resistance to 10 most commonly used drugs. The new model outperforms previous machine-learning tools, and incorporating it into clinical tests could dramatically enhance early detection and prompt treatment of drug-resistant TB.
May 2, 2019 • ~11 min
science-technology harvard-medical-school hms blavatnik-institute harvard-th-chan-school-of-public-health massachusetts-general-hospital mgh akshith-doddi analysis-group andy-beam bill-and-melinda-gates-foundation critical-path-institute drug-resistance ebiomedicine gentb isaac-kohane jimmy-royer luca-freschi marco-schito masha-farhat matthew-ezewudo mdr-tb michael-chen tb tuberculosis university-of-virginia-school-of-medicine xdr-tb
HMS researchers design algorithm that ID’s DNA defects, making more cancers treatable
A new algorithm designed by HMS scientists can be incorporated into standard genetic tests to successfully identify patients harboring a tumor-fueling DNA repair defect found in multiple cancers treatable with existing drugs.
April 15, 2019 • ~10 min
harvard-medical-school health-medicine blavatnik-institute nature-genetics algorithm-ids-dna-defects brca-genes cancer-treatment-advance doga-gulhan genetic-panels hr-deficiency newly-designed-algorithm parp-inhibitors peter-park sigma
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