Medical Technology

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@insitro 1 year ago

insitro is united by our passion for finding new ways to design & deliver medicines to patients. We’re looking for exceptional people to join us in using #MachineLearning and data at scale to transform drug discovery & development. Learn more at https://insitro.com/careers #AI #ML https://t.co/rF6I4ydkXr

@insitro 1 year ago

We’re 5,000 followers strong! Thanks for joining us as we journey to transform #drugdiscovery through #machinelearning and data at scale to more efficiently get new medicines to patients in need. https://t.co/aR0UgSWrN1

@flatironhealth 1 year ago

#ClinicalDecisionSupport at the point of care benefits patients and clinicians alike. Hear from @flatironhealth Medical director @aaronbcohen, on how #machinelearning can be used as a tool to support decision making for clinicians. https://t.co/A0j0aajLQ2

@GaleonCare 1 year ago

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

@ragoninstitute 2 years ago

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

@insitro 2 years ago

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

@PfeiferLab 2 years ago

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

@AI_Miami 2 years ago

Data breach at third-party provider exposes medical information of US healthcare patients #5G #100DaysOfCode #AI #Analytics #ArtificialIntelligence #DataScience #DeepLearning #Flutter #IOT #IIOT #JavaScript #MachineLearning #ML #NodeJS #Python #VR https://dy.si/36JUmN https://t.co/q5fXVfOtjB

@Strat_AI 2 years ago

@PaoloBonatoPhD 3 years ago

Kudos to the Michael J Fox Foundation on their support of the Digital Biomarker DREAM Challenge whose results just appeared in Nature Digital Medicine https://lnkd.in/d5HPCiS. A great example of how #machinelearning can help patients with #parkinsonsdisease ... https://t.co/FIKNqEU4VO

@AUKenDog 3 years ago

#DriveThru #testing center @MayoClinic where #COVID patients get #medical supplies with this #AutonomousCar #MachineLearning #AI #Data #Analytics #IoT #5G #100DaysOfCode #CES2021 #innovation #health #tech @EvanKirstel @Paula_Piccard @Ronald_vanLoon @mvollmer1 @drdavidsamadi https://t.co/JyiraIkkxc

@drmonalidesai 3 years ago

From @AHAMeetings @David_Ouyang potential future uses of AI, the integration of common calculators like CHA2DS2-VASC into patients’ medical record when appropriate #AHA20 #MachineLearning #AI #MedTwitterAI https://t.co/kXGBdwu6uJ

@FJCarmonas 3 years ago

Greg Hager at #sail20: "#AI has the potential to enable a more holistic and longitudinal approach to #healthcare – rather than treat patients when disease kicks, focus on #wellness preservation through understanding the broader context of the patient" #MachineLearning #medicine https://t.co/2cxQmgjoJd

@NimaRoohiS 3 years ago

“The Centers for Medicare and Medicaid Services agreed to reimburse hospitals for use of Viz LVO, a smartphone app that spots signs of stroke so patients can receive time-critical treatment...” @DeepLearningAI_ #AI #MachineLearning #MedTech https://t.co/HleaeaUkDe

@MonicaTincopa 3 years ago

Application of #MachineLearning models continue to show real promise in clinical medicine. #DeepLearning recurrent neural network models outperformed traditional linear regression models to identify patients with #HCV at high risk of developing #HCC. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770062?guestAccessKey=62adc2c2-bf09-495e-a501-1a20d52bf098&utm_source=jps&utm_medium=email&utm_campaign=author_alert-jamanetwork&utm_content=author-author_engagement&utm_term=1m https://t.co/vWqofKqqBi

@insitro 4 years ago

Today's financing is key to supporting our efforts to invent new medicines for patients in need through a data-driven approach to drug discovery and development. Learn more about our work in #machinelearning and high-throughput biology at: http://insitro.com https://t.co/toYssv1Wpm

@marcusborba 4 years ago

#ArtificialIntelligence used to predict which #coronavirus patients are at greater risk of ARDS https://bit.ly/2JFUUGj @euronews #Healthcare #DataScience #DeepLearning #Healthtech #Medicine #BigData #Analytics #Virus #MachineLearning #DigitalTransformation #COVIDー19 #AI https://t.co/NBbrlGKMKt

@davorjord 4 years ago

#MachineLearning can estimate the likelihood of cardiovascular death, giving doctors risk tiers to help effectively treat patients Via @spelldotrun Read more about Spell: http://datahacker.rs/spell-ai/ #AI #ML #DL #DeepLearning #spellrun #medicine #news #healtcare #healttech #video https://t.co/rQPkX9ZNMC

@BojanaVukov 4 years ago

@davorjord 4 years ago

@UKI2S 4 years ago

Great to see UKI2S-funded @eaglegen selected for @TechNation’s Upscale 5.0 programme! Eagle Genomics are using #machinelearning to help bring #medicines to patients. The programme will help the Company to #accelerate its growth https://bit.ly/2VnO6nZ https://t.co/msvfTA100V

@UCSC_BSOE 4 years ago

"#MachineLearning is revolutionizing our understanding of the human brain." Read how @ucsc engineer Narges Norouzi creates algorithms to improve medical outcomes for patients in our Good Engineering series: http://bit.ly/GENarges #womeninSTEM #WomenInTech https://t.co/G4eFzg0Aoh

@ICIJorg 4 years ago

Grab some coffee and catch up with our latest newsletter! 🇨🇳 Reactions to the #ChinaCables 🇦🇺 A win for mesh patients More data on medical devices 🤓 #MachineLearning experiment 🇺🇸 A bitcoin #ParadisePapers lawsuit Read it here: https://bit.ly/2OLNYK2 https://t.co/SoV8urt6Uu

@AstraZeneca 4 years ago

Advances in imaging technology, coupled with #AI and #MachineLearning, are enabling us to learn more about patients, disease and potential new medicines. Read how we’re embedding data science and AI across R&D: http://bit.ly/2NQ0MQf https://t.co/REDxkgKuNd

@medical_view 4 years ago

Scientists from @IRBBarcelona, @CRGenomica & @Radboud_Uni have developed an #machinelearning algorithm that can predict which cancer patients are more likely to benefit from #immunotherapy. @FranSupek @BenLehner #AIinHealth https://medicalview.org/ai-system-predicts-which-cancer-patients-benefit-from-immunotherapy/ https://t.co/6p7By58mo4

@axial_3D 5 years ago

This Thursday, @cathycoomber and @HaslamNiall join the #AI track at @beltech2019 to discuss the use of #MachineLearning in #MedicalImaging, and what it means for patients. Don't miss 'Patient Data Made Real: Applying Machine Learning to Medical Imaging'! #Beltech19 https://t.co/KwTO3ubn5R

@TamaraMcCleary 5 years ago

I talked with Dr. May Wang, #CTO @ZingboxSecurity on how they are using #AI and #MachineLearning to protect patients of connected #medical #IoT devices. Watch now => http://bit.ly/2SfUpFf via @DellTech #Health #HealthTech https://t.co/9ikFCj0lFK

@TamaraMcCleary 5 years ago

I recently interviewed Dr. May Wang, #CTO @ZingboxSecurity on how they are using #AI and #MachineLearning to protect patients of connected medical #IoT devices. Watch now => http://bit.ly/2SfUpFf via @DellTech #Health #HealthTech https://t.co/w9E73MqJDd

@TamaraMcCleary 5 years ago

@KirkDBorne 6 years ago

Google is Using 46 Billion Data Points to Predict the Medical Outcomes of Hospital Patients: https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/ #Healthcare #BigData #DataScience #AI #MachineLearning #DeepLearning #DataMining #HealthTech #EHR https://t.co/85UYuXlPI3

@FrRonconi 6 years ago

#Google is using 46 billion #data points to predict the #medical outcomes of hospital patients https://qz.com/1189730 via @qz #AI #MachineLearning #HealthTech #DigitalHealth #EHR #BigData #PatientEngagement HT @evankirstel @JohnNosta https://t.co/tEcRykikbo

@pamgarfield1 6 years ago

Diagnostics and other aspects of medicine are a good fit for #AI and #MachineLearning - this underscores the growing importance of doctors focusing on what humans do best: engaging with patients to determine the right treatment plan http://hpgllc.co/lexuu

@DeepLearn007 6 years ago

Machine learning delivers insight into medication’s effects on stroke patients : tailored treatment#AI #MachineLearning #ML #HealthTech #tech https://www.digitalhealth.net/2017/11/machine-learning-delivers-insight-stroke-patients/ https://t.co/Hy5YW5usqq