How does AI "see" the disease? What are the requirements of advanced #MachineLearning use cases in #healthcare sector? https://buff.ly/3HNAOcG Here's how @ReasonFieldLab used #DeepLearning in development of better solutions to aid detecting cancer cells in medical images. https://t.co/oYVZM9DdXs
How does AI "see" the disease? What are the requirements of advanced #MachineLearning use cases in #healthcare sector? https://buff.ly/3HNAOcG Here's how we used #DeepLearning in development of better solutions to aid detecting cancer cells in medical images. https://t.co/WonSG1W5Z0
Congratulations to @EResconi, @fabian_theis and @LickertHeiko, whose projects will be supported with ERC Advanced Grants - making it a total of 157 #ERCGrants for researchers at our university: http://go.tum.de/829310 #ERCAdG #medicine #astrophysics #MachineLearning @ERC_Research
As this technology matures, it will be possible to use it for better customer support, business intelligence, medical informatics, advanced discovery, and much more. #DataScience #ArtificialIntelligence https://hubs.ly/H0CmfYp0
Via @Hi_TechTrends: "Big Data In #Healthcare 2020." https://htechtrends.com/big-data-in-healthcare/ #BigData making a big impact in healthcare: -Success with Patients -Diligence in Care -Lowered Costs -Effective/Efficient #Medicine -Advanced Security -More Aware Doctors #Data #Tech #MachineLearning
The European Research Council is funding research projects at our university with two Advanced Grants and a Proof of Concept Grant. Congratulations to our scientists! http://go.tum.de/002331 #ERCgrants #EUfunded #computervision #statistics #bigdata #parkinsons #medicalsoftware
Together with colleagues from @SwanseabayNHS, King George's Medical Uni in Lucknow, research participants from across India & @3d_wipro we're exploring how advanced digital design, #3Dprinting, #AdditiveManufacture & technologies such as #MachineLearning can improve healthcare. https://t.co/g02SuNtHyd
Delighted to host #Turkey’s healthcare delegation on cancer technologies and hospital digitization at @USChamber. Turkey’s advanced healthcare imaging + U.S. #AI and #BigData partners may hold the keys to early detection and precision medicine. https://twitter.com/ustda/status/1222172580997627905 https://t.co/wTPghsrBKu
tips to review #MachineLearning papers, esp. in #medicine & #neuroscience: -ask for a flowchart from raw data to final metrics! -don't assume CV (like repeated holdout) and advanced metrics (AUC) are implemented correctly. If you don't follow it drunk, they're likely wrong!
DBMI Associate Professor @nicktatonetti focuses on the use of advanced data science methods, including #ArtificialIntelligence and #MachineLearning, to investigate #Medicine safety. #TranslationalInformatics #DataScience #DrugSafety #DBMIin2019 ➡️ https://www.dbmi.columbia.edu/non-traditional-thinking-guides-nick-tatonetti-ph-d-to-important-advancements-in-health-healthcare/ https://t.co/1U7H2guojA
Thanks to @AbbottGlobal's digital health research, the healthcare industry has advanced in diagnoses and treatments of some of the world’s most prevalent medical challenges. Learn more in this CES Tech Talk http://bit.ly/2Q3UAUR https://t.co/Nirf3vXSBX
A new study from our group in Oslo shows that advanced #MachineLearning methods for analysing videos of semen samples may be a useful tool in the investigation of #MaleInfertility. #MedicalAI #HealthCare http://ow.ly/Ld9Q30pV9on
Data is revolutionizing every industry, especially healthcare. Dr. Christopher Morley of @Medivis_AR showed CES 2019 how the latest in AR and 5G are providing caregiver’s more comprehensive patient information through advanced medical imaging http://bit.ly/2Mbpwk4 https://t.co/4XGZE3Q3QW
Medicare patients with advanced cancers will now have access to a more 21st century diagnostic: gene-sequencing tests to match them with the right drugs.
Medicare patients with advanced cancers will now have access to a more 21st century diagnostic: gene-sequencing tests to match them with the right drugs.
