Machine learning models predict mice lifespan

Researchers have built two machine learning models that gauge biological age and predict remaining lifespan in mice.

Stephanie Dutchen • harvard
Sept. 15, 2020 ~7 min

Tags: 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.

Ekaterina Pesheva and Kevin Jiang • harvard
April 1, 2020 ~11 min

Tags:  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

Jake Miller • harvard
July 15, 2019 ~7 min

Tags:  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.

Jake Miller • harvard
July 11, 2019 ~5 min

Tags:  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.

Ekaterina Pesheva • harvard
May 17, 2019 ~5 min

Tags:  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.

Ekaterina Pesheva • harvard
May 2, 2019 ~11 min

Tags:  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.

Christy Brownlee • harvard
May 2, 2019 ~5 min

Tags:  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.

Ekaterina Pesheva • harvard
May 2, 2019 ~11 min

Tags:  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.

Ekaterina Pesheva • harvard
April 15, 2019 ~10 min

Tags:  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

At Harvard, adding AI to M.D.

Researchers at Harvard Medical School’s Blavatnik Institute are developing an algorithm with information that is so complex, it will understand everything a first-year medical student knows.

Ekaterina Pesheva and Ann Marie Menting • harvard
April 5, 2019 ~5 min

Tags:  science-technology  artificial-intelligence  ai  blavatnik-institute  department-of-biomedical-informatics  proto-med-student

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