🆕COVID-19 🦠in a large cohort of "Inborn Errors of Immunity" / Primary Immunodeficiency patients. - via NYC's Mount Sinai Medical Center 3% overall fatality-rate https://www.frontiersin.org/articles/10.3389/fimmu.2022.1035571/full #bioinformatics #scicomm #openscience #snrtg #datascience #iot #raredisease #immunology https://t.co/pq26puUWOM
Doctomatic is a remote patient-monitoring app which, using any medical device from heart-rate monitors to scales, allows doctors to check in on patients with chronic disease. :Gregori Civera https://wired.trib.al/80BpwK6 5/12 https://t.co/PLl8Etgl2V
With AI, personalised medicine is evolving to give new hope to patients with cancer. 🧬 Find out how in this new article available on Galeon Academy : https://loom.ly/X-EuVWQ Like and Share! #galeon #HealthcareBlockchain #galeonacademie #machinelearning #AI https://t.co/IQzTvcgyC7
#Python can turn you into a medical doctor So I spent the day analysing data of 70000 patients from a hospital using python and jupyter notebook. Cholesterol and Weight are the 2 big diff between those with/without cardio disease #100DaysOfCode #Coding #DataScience https://t.co/xL1lW6QYUL
An interesting study recently published in @PalliativeMedJ looks at the use of #MachineLearning models to detect social distress, spiritual pain as well as severe symptoms in end-of-life #cancer patients using data from medical records. Read more here: https://journals.sagepub.com/doi/full/10.1177/02692163221105595
Our CTO @KR_Skelly is presenting at @RecursionPharma's #DataScience meet-up today! She will be sharing more about how our data collection at Known Medicine is creating better outcomes for cancer patients. Sign up with the link below! #TheFutureisKnown https://twitter.com/recursionpharma/status/1522224198768230401
Researchers from Boston Children’s Hospital were able to predict with 83% accuracy if patients were going to be a no-show at the time of their appointment. @BostonChildrens http://ow.ly/JYJs50IXVPC #AI #MachineLearning #medicalresearch
Musie Ghebremichael and colleagues used #machinelearning and #networkanalyses to identify cell death pathway genes in HIV-infected patients with mitochondrial toxicity, a side effect of some HIV medications. https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-021-01136-1 https://t.co/7KVWdU0Efe
We're thrilled to announce our collaboration with @GenomicsEngland to bring our #MachineLearning-powered embedding search capabilities to their multimodal phenotypic and genetic database to create better medicines for patients in need. https://www.businesswire.com/news/home/20220309005401/en/insitro-and-Genomics-England-Announce-Partnership-to-Provide-Multimodal-Search-Capabilities-and-Empower-Data-Exploration-and-Derivation-of-Novel-Insights https://t.co/W7eGEQeEmI
With #machinelearning we hope to accelerate the drug discovery cycle, design better molecules and ultimately get transformative medicines to patients faster. #reimaginingmedicine
Nico is attending the @HorizonEU funded European Cohorts of Patients and Schools to Advance Response to Epidemics (EuCARE) Project Kick-off to present our contributions to #SARSCoV2/#COVID19 research on 4 continents. #MedicalInformatics #MachineLearning #ArtificialIntelligence https://t.co/06ORQVea3K
