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@freddytn 1 year ago
In #machinelearning, synthetic data can offer real performance improvements Models trained on synthetic data ➡️ eliminate privacy, copyright, & ethical concerns from using real data @MIT_CSAIL @MITEECS @MIT_SCC @MITIBMLab #health #healthcare #medicine https://news.mit.edu/2022/synthetic-data-ai-improvements-1103
@freddytn 1 year ago
Shifting #MachineLearning for #healthcare from development to deployment & from models to data By A Zhang, L Xing, J Zou & J Wu Data-centric view of #innovation + challenges #health #medicine #datascience #artificialintelligence @natBME @NaturePortfolio https://www.nature.com/articles/s41551-022-00898-y
@freddytn 1 year ago
Startup lets doctors classify skin conditions with snap of a picture @PictionHealth, founded by @SusanTConover SM ’15, uses #MachineLearning to help physicians identify & manage skin disease @MIT @MIT_alumni @MIT_Healthcare #health #medicine #innovation https://news.mit.edu/2022/piction-health-skin-app-0706
@freddytn 2 years ago
Congrats @HellerLab for making cover of @natBME! Cover illustrates analysis, via #MachineLearning, of NIR-fluorescence emissions of #carbon-#nanotube #sensors placed in serum samples to predict #OvarianCancer #science #engineering #medicine #cancer #diagnostics #nanotechnology https://twitter.com/freddytn/status/1504889561381548042 https://t.co/PwOiBRCUcQ
@freddytn 2 years ago
Congrats @HellerLab on newest paper! “Detection of ovarian #cancer via spectral fingerprinting of quantum-defect-modified #carbon #nanotubes in serum by #MachineLearning” #nanotechnology #nanoscience #technology #medicine #health #research #optics https://www.nature.com/articles/s41551-022-00860-y https://t.co/t2G8Ix1rJd
@freddytn 2 years ago
New #AI #DeepLearning #technology algorithm trained to optimize doses of propofol to maintain unconsciousness during general #anesthesia could augment patient monitoring #health #healthcare #medicine #MachineLearning @MIT @MIT_IMES @mit_hst @MIT_Picower https://news.mit.edu/2022/research-advances-technology-ai-assistance-anesthesiologists-0214
@freddytn 2 years ago
Downside of #MachineLearning in #HealthCare How hidden biases in med data could compromise #ArtificialIntelligence approaches Need to improve quality of data but data collection not incentivized rewarded #health #medicine #AI @MIT_CSAIL @MIT_IMES @MIT_SCC https://news.mit.edu/2022/marzyeh-ghassemi-explores-downside-machine-learning-health-care-0201
@freddytn 2 years ago
#ArtificialIntelligence system rapidly predicts how 2 proteins attach #MachineLearning model could help scientists speed dev of new meds & directly predict complex that will form 80-500X faster #health #medicine #biotech @MIT @MIT_CSAIL @AIHealthMIT https://news.mit.edu/2022/ai-predicts-protein-docking-0201