#LungCancer remains one of the most challenging diseases to treat, but breakthroughs in targeted therapies are changing the game. This recent study in Center for Data Innovation highlights the growing potential of #PrecisionMedicine to develop treatments that address the unique molecular profiles of lung cancer patients. The future of lung cancer treatment lies in precision. Together, we can accelerate innovation and transform care for those who need it most: https://lnkd.in/gJ4qtjcC
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Recently attended a panel discussion on Artificial Intelligence (AI) Perspectives in Clinical Research hosted by The Society of Clinical Research Associates, Baptist Health South Florida, Sylvester Comprehensive Cancer Center, and the University of Miami Clinical Translational Science Institute. It was a great presentation on the use of AI in clinical research. Great discussion on the potential advantages and pitfalls of using Artificial Intelligence (AI) in clinical research! https://lnkd.in/e7JetsVK
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“For computational scientists the Hartwig Medical Database is foundational. It means that we can focus on creating the best possible algorithm rather than spending time on gathering, normalizing, and unifying data from various sources. This already happened from the ground up, with re-use in mind. This is the way forward in my opinion”: Jeroen de Ridder, Principal Investigator UMC Utrecht and Oncode Institute Would you like to use this data, too? https://lnkd.in/excwE-kp. The data is pseudonymized and made available free of charge to cancer research institutes and hospitals. It is used by research groups all over the world. Hartwig Medical Foundation is a not-for-profit organization that promotes scientific research in the fight against and treatment of cancer and other diseases, in the broadest sense and provided it is in the public interest. #cancerresearch #cancergenomics #bioinformatics
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Looking forward to the intersection of advanced technology, engineering and cancer #immunotherapy. These are the kinds of tools we will need to create more advanced and specific modulation of the immune system to fight #cancer! Thanks to SITC for creating this workshop along with the annual #SITC2024 meeting! #AI #engineering #materials
The #SITC 2024 #Immune Engineering Workshop Pre-Conference Program will be held on Nov. 7, 2024. The Workshop will explore the recent advances in #engineering, #AI, and #cancer #immunology, as well as practical solutions to #clinical problems via interdisciplinary collaboration between #engineers, #clinicians, and #scientists. Save up to $200 on Regular Registration Rates by registering by Aug. 14: go.sitcancer.org/3SkAKFH Organizers: Daniel Chen, M.D. Ph.D. of Synthetic Design Lab, Inc., Elana Fertig, PhD, FAIMBE of Johns Hopkins University, Kole Roybal, PhD of University of California, San Francisco, and Stefani Spranger, PhD of Koch Institute for Integrative Cancer Research at MIT.
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Just getting started - translating AI for real-world impact. Lots of lessons learned, most importantly: (1) keeping experts "in-the-loop"; (2) collaboration is key (Triomics, Medical College of Wisconsin Cancer Center, Bradley Taylor, MBA, FAMIA); (3) continuous evaluation. More to come!
Investigators at the Medical College of Wisconsin Cancer Center and the Clinical & Translational Science Institute are harnessing the power of artificial intelligence to automate clinical trial matching for patients with #cancer. Their new pilot study uses a large language model, a Triomics platform called OncoLLM, to analyze vast amounts of data in a fraction of the time it would take a human, and with greater precision. By streamlining the patient-trial matching process, #MCW is working to ensure that no patient is overlooked for trial eligibility. Learn how we're setting new standards for clinical trial equity and inclusion: https://lnkd.in/gv5VdMx9 #cancerresearch #clinicaltrials #clinicalresearch #CancerDiscovery #patientcare #artificialintelligence #AI #technology #collaboration #cancercare
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LSUS researchers are leading a transformative study to improve access to colorectal cancer treatment across Louisiana, thanks to a $130K NIH AIM-AHEAD grant. By analyzing road distances, demographic data, and patient outcomes, this project—guided by Dr. Subhajit Chakrabarty—aims to pinpoint barriers to timely care and inform policy changes to reduce disparities. With AI, machine learning, and GIS technology at the forefront, this initiative is poised to make a significant impact. Discover more about this innovative work: https://bit.ly/3BeAXVI
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Can Financial Engineering Cure Cancer? Missed our live webinar? No worries! Watch the recording featuring Dr. Andrew Lo, where he explores how innovative financial models can revolutionize cancer research funding and lead to sustainable medical breakthroughs. Discover how financial engineering has the potential to transform the future of biomedical advancements.
Dr. Andrew Lo: Can Financial Engineering Cure Cancer?
https://www.youtube.com/
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Investigators at the Medical College of Wisconsin Cancer Center and the Clinical & Translational Science Institute are harnessing the power of artificial intelligence to automate clinical trial matching for patients with #cancer. Their new pilot study uses a large language model, a Triomics platform called OncoLLM, to analyze vast amounts of data in a fraction of the time it would take a human, and with greater precision. By streamlining the patient-trial matching process, #MCW is working to ensure that no patient is overlooked for trial eligibility. Learn how we're setting new standards for clinical trial equity and inclusion: https://lnkd.in/gv5VdMx9 #cancerresearch #clinicaltrials #clinicalresearch #CancerDiscovery #patientcare #artificialintelligence #AI #technology #collaboration #cancercare
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"Excited to share our latest paper published in IEEE on 'Augmenting Clinical Decisions with Deep Learning: Lung Cancer Image Abnormality Segmentation'. Our team's research aims to revolutionize healthcare by leveraging deep learning to enhance the accuracy and efficiency of lung cancer diagnosis. Check out the publication for insights into our groundbreaking work! #DeepLearning #HealthcareInnovation #MedicalResearch"
Augmenting Clinical Decisions with Deep Learning Lung Cancer Image Abnormality Segmentation
ieeexplore.ieee.org
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Join us for the BIDS Monthly Seminar Series: "Interpretable Deep Learning for Cancer Personalized Medicine" with Dr. Maria Rodriguez Martinez, Associate Professor at Yale Biomedical Informatics & Data Science. 🗓️ Thursday, September 19 | 12:00 - 1:00 PM (EST) 📍 100 College St., 11th Floor, Rm 1116 🔗 Virtual Access: https://lnkd.in/gcjEqm6s 💡Dr. Martinez will showcase how interpretable deep learning models balance predictive accuracy with transparency—paving the way for breakthroughs in drug modeling, design, and T cell receptor binding prediction. If you're interested in how #AI and mechanistic models can tackle #computational challenges and revolutionize #cancer therapy development, you won't want to miss this!
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Struggling to push the boundaries of personalized medicine and immunotherapy? Neoantigens might be the breakthrough you've been searching for. Julie Gil, PhD, Principal Solution Scientist at Velsera, discusses the cutting-edge world of neoantigen discovery—an innovation transforming cancer treatment and personalized medicine. In this presentation, Julie reveals how advances in bioinformatics, machine learning, and genomics are unlocking new possibilities for patient care. Explore the future of immunotherapy! Watch Julie’s insightful presentation on-demand now and discover how neoantigens could hold the key to more effective, personalized treatments. https://lnkd.in/grW258ZA #PersonalizedMedicine #Neoantigens #EraOfVelsera
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