Medical Technology

Current search: need machinelearning unset

@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

@birlasoft 1 year ago

With AI disrupting the medical device industry, AI-infused systems and technologies are driving a slew of beneficial changes in disseminating therapeutic benefits to those in need. https://bit.ly/3PZndRn #AI #DataScience #MachineLearning #InternetOfThings #CloudComputing https://t.co/7R7rCiXMXe

@ProPakistaniPK 1 year ago

Now you won't have to rack your brains to figure out what medicine you need. Read More: https://propakistani.pk/2022/12/19/google-can-now-read-doctors-bad-handwriting-for-you/ #Google #MachineLearning #Handwriting https://t.co/KUjTs8tkwk

@TysonLester 2 years ago

Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI and sensitive patient data are of significant importance. #HIPAA #AI #MachineLearning #IoT

@TysonLester 2 years ago

Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI & sensitive patient data are of paramount importance. #HIPAA #AI #MachineLearning #IoT

@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

@ricardovinuesa 2 years ago

In my latest piece published in @YuanCommunity, I discuss the importance of #Interpretability in #DeepLearning models, particularly in the context of #Medical applications. We need to open the #BlackBox! More info: https://www.nature.com/articles/s42256-021-00414-y #SDGs #MachineLearning #AI #Interpretable https://twitter.com/YuanCommunity/status/1495952256533168128

@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

@INM7_ISN 2 years ago

Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu

@TRBRajaa 3 years ago

TIME to move onto mass screening via other available cheaper non time consuming methods like #XRays combined with #MachineLearning Putting to use proven #ArtificialIntelligence driven medical hacks is the need of the hour We MUST start using Machines ! Humans are just too TIRED ! https://twitter.com/Nidhi/status/1385869683513978880

@insitro 3 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

@_rohitghosh 4 years ago

Just crossed the threshold wherein memes are now part of my AI slides . Well, what better than our beloved late actor to drive the point home about need interpretability of DL models in medical imaging #AI #MachineLearning #MedicalImaging https://t.co/2wPBkcqBbi

@KirkDBorne 4 years ago

Speeding up drug development with #Artificialintelligence: https://dy.si/hXknH ...National Academy of Medicine: “medical education will need a substantial overhaul.” ————— #BigData #DataScience #AI #MachineLearning #HealthTech #MedTech #MedEd #DrugDiscovery #ClinicalAnalytics https://t.co/BUGqJLmJrj

@MaryWebberley 4 years ago

Noisy Guts is recruiting! We need an additional full-time #MachineLearning specialist to help us decode gut noises. Medical ML or acoustic signal processing experience preferred. Contact mary@noisyguts.net Please RT @WiMLDS @srigsri23 #Python #medtech @PerthMLGroup #startups https://t.co/93reczpQQ2

@WCAIRDundee 4 years ago

#WomenInScienceDay #WomenInSTEM come and join us. https://wcair.dundee.ac.uk/category/vacancies/ . We need #chemoinformaticians #AI #MachineLearning #researchers interested in innovating within our #drugdiscovery @compchem. Also openings for #synthetic #medicinal #chemists @DDU_Dundee. https://t.co/DdcM7bjHCi

@nasmoutiphd 4 years ago

Google developed Coral: a portable neural network accelerator. It will make it possible to use models locally without the need for cloud. Sending data to the cloud is a security risk for sensitive data (eg medical records). #MachineLearning #DataScience https://www.theverge.com/platform/amp/2020/1/14/21065141/google-coral-ai-edge-computing-products-applications-cloud?fbclid=IwAR1xGpoS5u-6qqSKDTBCztUlz5Os8KbFVg3aVTdHEXM1nQmEzvkvubv5BmU

@smartDataIncLtd 4 years ago

#Datascience solutions are reshaping the medicine industry Get immediate medical assistance using #chatbot without the need for a customer support team or a physician. Feel Free To contact us for more details: https://bit.ly/2qL6b2s #MachineLearning #ML #DeepLearning #AI #IoT