Johanna Kim
Stanford, California, United States
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Explore more posts
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Benthos Prime Central
Here is yet another paper mentioning Benthos Prime Central. Groundbreaking discoveries arise not only from integrating biology and bioinformatics, but also from employing biologically meaningful analysis. These approaches enable us to uncover previously missed or novel pathways regulating diseases in humans. For fresh insights into your disease research, we are here to assist with all aspects of biology and disease omics. Contact us to see how we can support your research."
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Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI)
Stanford University School of Medicine magazine showcases the rich history of AI at Stanford and highlights many of our faculty members who are at the helm of melding powerful advancements in AI with medicine and health care. The recent buzz around AI isn't new, but excitement is building around use of AI to reveal insights and connections we haven't seen before. "AI can be, in some ways, superhuman because of its ability to link disparate data sources," says AIMI Center Director Curtis Langlotz, commenting on the technology's capabilities. "It can take genomic information and imaging information and potentially find linkages that humans aren't able to make. Sylvia Plevritis, PhD, a professor of biomedical data science and of radiology, is also one of the leaders of the RAISE-Health initiative. She developed a systems biology cancer research program that bridges genomics, biocomputation, imaging and population sciences to decipher properties of cancer progression. "Today, AI is completely changing the way we connect the dots between basic science research and clinical care," said Plevritis, who is in the Stanford Medicine leadership group focusing on what this new path means for medical education. If you're new to #AI, large language models and machine learning, check out AIMI Center Co-Director Dr. Nigam Shah's "AI 101" list of definitions in the story. Visit https://lnkd.in/dHw-TcJt to read more from our Stanford Medicine and AIMI Center experts! Interested in diving deeper? Join us for the upcoming RAISE and AIMI symposiums, May 14 and 15, for in-depth discussions on the pioneering developments in AI that are shaping healthcare! RAISE Symposium - May 14 Time: 8:30 a.m. – 1 p.m. PDT Details and registration: https://lnkd.in/eZWBtMmk AIMI Symposium - May 15 Time: 9 a.m. - 4 p.m. PDT Details and registration: https://lnkd.in/gtjPfiAE #AIMI24 #ResponsibleAI #AIInHealthcare #MachineLearning #AIMIsymposium #RAISEhealth #RAISEhealthSymposium
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UMass Chan Medical School
Learn about how Ben Gerber, MD, MPH; Mara Epstein, ScD, ScM; and artificial intelligence specialist Feifan Liu, PhD, are using a database from the All of Us Research Program for population health research: https://direc.to/kDYw The NIH program is designed to speed up medical breakthroughs and reduce health disparities by gathering detailed health information from at least one million people across the U.S. A foundational goal is to enroll people from populations that have been historically underrepresented in biomedical research. #AdvancingTogether #NIH The National Institutes of Health
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Husseini Manji, M.D., F.R.C.P.C.
An analysis by the Deloitte Health Equity Institute and the School of Global Health at Meharry Medical College has found that mental health inequities could lead to $14 trillion in excess costs between now and 2040, if left unaddressed. It’s imperative that we increase access to culturally-informed, evidence-based mental healthcare access by reducing stigma and addressing discrimination. https://lnkd.in/eSa4WUsh #healthequity #mentalhealth
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Sano Genetics
Genetic screening has the potential to reshape public health, improving how we detect and prevent diseases. 🧬 But, it requires more than just technology—it needs thoughtful planning and collaboration. Our latest report, "Strategic pathways for integrating genetic screening into public health," outlines how to build the right infrastructure, ensure equitable access, and foster global cooperation to make this vision a reality. 🌍 Download the full report here 👉 https://lnkd.in/e226w-py #PublicHealth #Genetics #PrecisionMedicine
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Fempower Health
🌟 Hope for Women’s Health: ARPA-H’s Sprint for Innovation 🌟 It is a time of uncertainty, and I'd go so far as to say fear - I won't deny that. We've all been in the discussions whether it be 1:1, doom scrolling or otherwise. While it may not seem so, there is momentum in #womenshealth. And I'm glad I waited until after the election to send this ray of hope. The Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health has committed $110 million (which is 🔅COMMITTED FUNDING🔅) to support groundbreaking research and solutions focused on the unique health challenges women face. With inspiring voices like Dr. Jill Biden, Maria Shriver, and Dr. Renee Wegrzyn leading the charge, this initiative highlights the importance of prioritizing women’s health as essential to the health of our communities. From addressing chronic pain and improving ovarian health to advancing diagnostics for endometriosis and brain health, these projects represent a long-overdue shift toward #healthequity for women. 🏥💪 I’m thrilled to share two articles that dive into the details of these transformative projects and the importance of this historic investment. Together, we can stay hopeful and celebrate the progress being made for women’s health. 🌱 🔗 Why the Sprint Matters Now More Than Ever: https://lnkd.in/eqHg-8sP 🔗 Detailed Overview of Awardees: https://lnkd.in/eejzK7BM ✨ Congratulations to the incredible teams leading this change: Gravidas Diagnostics, Inc., Daré Bioscience, Inc. Glaucus, Vanderbilt University Medical Center 4D-Space, Design Factory, Aalto University School of Science, Celmatix, Gameto, Draper , Mass General Brigham, Mass General Brigham Innovation , University of North Carolina at Chapel Hill, GE Medical Systems, Ultrasound & Primary Care Diagnostics, LLC, Monash University, Beth Israel Deaconess Medical Center, Washington University in St. Louis, Tufts University School of Medicine, UC San Diego, University of California, Berkeley, Children's Medical Research Institute, Wyss Institute at Harvard University, University of Iowa, Aspira Women's Health, General Proximity, Nura Health, Lasa Health, Dama Health, Ancilia Biosciences. Pictured: Renee Wegrzyn Lucy Perez Maria Shriver Carolyn M. Mazure at HLTH Inc. Written by: Georgie Kovacs If I missed anyone or mis-tagged the organization, please send me a note and I will update. #healthcare #hopeforthefuture #hlth2024 #healthresearch
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Ashley S. Love, DrPH, DHSc
We are at a pivotal moment in public health with AI and data integration. Early detection of health threats is crucial to prevent them from escalating. AI-driven pattern recognition and enhanced data sharing between local and federal entities enable us to swiftly identify potential outbreaks and stay ahead. It is essential for everyone, from all walks of life, not just data scientists, to understand the basic fundamentals of AI and be data fluent. As technology evolves, our success relies on the collaborative efforts and ethical considerations behind the machines. Leveraging these tools together ensures better mission outcomes and underscores the importance of teamwork, innovation, interdisciplinary collaboration, and human involvement. A recent survey from the Chronicles of Education shows that 70 percent of graduates believe generative AI should be incorporated into courses, yet more than half feel unprepared for the workforce. This highlights the urgent need to integrate AI education across disciplines to better equip our future leaders. #AI #PublicHealth #DataFluency #Innovation #Interdisciplinary #Collaboration #WorkforceDevelopment #Education #GenerativeAI #EthicalAI #Teamwork #Healthcare https://lnkd.in/gHUXWi3d
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John Mickel
This is one of the most exciting posts on LinkedIn this year for me. The era of proper viral hygiene will begin with ARPA-H, just as the internet began with #DARPA (under its pre-DARPA name of just ARPA). #virus #viraldiagnostics #vaccine #vaccines #therapy #therapeutics #microbe #microbialdiagnostics #metagenomics
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Stanford Center for Digital Health (CDH)
Stanford Medicine Magazine spotlights a few Stanford University School of Medicine researchers who shed light on the current and future use of synthetic data in medical settings. Featuring insights from Stanford CDH Pilot Grant Awardee Akshay Chaudhari and Affiliate Faculty Members Tina Hernandez-Boussard, James Zou and Curtis Langlotz Read it here: https://stan.md/3XyEkyQ #StanfordCDH #DigitalHealth #GenAI #SyntheticData #DataScience
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Journal of Clinical Pathways
In the latest issue of the Journal of Clinical Pathways, Stephen Speicher, M.D., M.S., Will Shapiro, and Taylor Dias-Foundas, explore the transformative impact of artificial intelligence (AI) in health care, emphasizing its potential paradigm shift and current deployment in oncology. "Developing a clear sense of what AI really is and how it can assist oncologists with decision-making at the point of care is essential for maximizing the utility of present-day technology while laying the groundwork for the incredible possibilities of the future," said the authors. Read the full report here: https://lnkd.in/eK4kg3s5 #JournalOfClinicalPathways #CancerCare #ArtificialIntelligence #AI #HealthTechnology #PointOfCare
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Mississippi Artificial Intelligence Network (MAIN)
"Stanford Medicine leaders reaffirm long-term vision, highlight cancer and AI innovation" Stanford University School of Medicine leaders, including Lloyd Minor, David Entwistle, and Paul A. King, highlighted innovation in artificial intelligence (AI) and cancer research as strategic priorities during the 2023 State of Stanford Medicine event. With a refreshed integrated strategic plan through 2030, the organization aims to leverage AI to enhance diagnostics, patient care, and administrative efficiency while setting industry guidelines for AI use in healthcare. Additionally, Stanford Medicine is advancing cancer care through new therapies, clinical trials, and expanding access, aiming to create a comprehensive cancer center for adult and pediatric patients. Read more here: https://lnkd.in/g8xbDMzU #AI #Medicine #Healthcare #Medical #Cancer #Technology #Stanford
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Sinai Urban Health Institute
Dive into our latest study published in BMC Health Services Research for an illuminating view of Sinai's Diabetes Center's innovative, team-based care model. We explore the benefits, challenges, and potential impact on health outcomes in diverse urban settings. Learn more here: https://lnkd.in/gSW8wAdp #DiabetesCare #HealthServicesResearch #SUHI
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Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI)
Stanford Institute for Human-Centered Artificial Intelligence (HAI)'s healthcare AI policy workshop brought together a distinguished group of leaders -- ranging from policy makers and ethicists to AI developers and patient care advocates -- to address gaps in federal healthcare AI policy. The ultimate goal was to promote support for regulatory changes. Here are a few key takeaways from the program: - The majority of program participants believe new or "substantially changed" regulatory framework is needed for effective healthcare AI governance. - Developers of novel AI-powered medical devices with diagnostic capabilities are hindered by the current FDA device clearance process, which requires evidence for each individual diagnostic capability. This is not commercially feasible for AI products with hundreds of diagnostic capabilities. The result? Software companies bring to market downgraded products. Workshop participants proposed new policy approaches to streamline the approval process. - Participants were divided over AI use and human oversight in clinical operations and administration: Some technologies can help address staffing shortages and administrative burden, but they also require human oversight to ensure safety. - Questions were raised over transparency. What responsibilities do technology developers have to communicate information about model design? Should patients be told when AI is being used in their treatment? - Many agree that patient-facing AI applications could help democratize healthcare access and offer new services to patients, but regulatory guardrails are needed. Should these tools be governed more like medical devices or medical professionals? Thanks to AIMI Center Director Curtis Langlotz for leading this effort as chair of the steering committee! We're glad to see Stanford lighting the path in these conversations that prioritize the ethical use of healthcare AI. Read more in the event recap here: https://lnkd.in/eT6QWVa9 Caroline Meinhardt Alaa Youssef Roderick (Rory) Thompson, MD, MSc Daniel Zhang Rohini Kosoglu Kavita Patel #HealthcareAI #HealthPolicy #AIGovernance
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Yale School of Medicine Department of Urology
Why was it important for our own Michael Leapman, MD, MHS, Preston Sprenkle, MD, and their research team to review information on more than 92,000 patients? In this video, produced by Yale School of Medicine, Dr. Leapman explains how having a large dataset helps with #prostatecancer research. Yale Medicine Learn more about their recent study published in JAMA Network Open [https://lnkd.in/ePuaU5Z8]
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SeamlessMD
On this episode of "The Digital Patient", hosts Dr. Joshua Liu & Alan Sardana sit down with Allen Hsiao MD, FAAP, FAMIA, Chief Health Information Officer at Yale New Haven Health, to discuss “Why AI draft responses to patient portal messages have underwhelmed so far, Using AI scribes in the ED, How to use MyChart for Equitable Research Participation, and more…” Listen here: https://bit.ly/3AzbrtL
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U: The Mind Company
Public health strategies for cognitive health: Our recent research on am-tPCS for Alzheimer's disease shows promise, presenting opportunities for innovative public health interventions. This study provides critical data for developing population-level strategies to address cognitive health in our aging society. For a thorough analysis of the public health implications, access the full study: https://lnkd.in/dDJAxB3v #PublicHealth #CognitiveHealth #AgingPopulation
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Phil Garner
The Duke-Margolis Institute for Health Policy has released a comprehensive white paper detailing the critical role of #RWE in supporting #causalinference in #noninterventionalstudies. Read at The Evidence Base® #heor #healtheconomics #outcomesresearch #rwd #realworldevidence #realworlddata #healthdata
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Stanford Center for Digital Health (CDH)
#StanfordCDH pilot grant awardee Akshay Chaudhari has secured an Advanced Research Projects Agency for Health (ARPA-H) contract to support his work with Roxana Daneshjou exploring the use of large language models to improve the patient experience. With the $4.8 million contract, Drs. Chaudhari and Daneshjou will develop large language model-driven chatbots to assist in patient communication. These tools will help patients with tasks such as interpreting imaging results and understanding discharge instructions. The overall goal is to fully automate and scale these approaches for patient-facing use. "I'm looking forward to co-leading this APRA-H project alongside Roxana," says Dr. Chaudhari. "The ARPA-H funding mechanism allows for the creation of inter-disciplinary teams that consists of biomedical researchers, computer scientists, radiologists and hospitalists, which would otherwise be challenging with other funding programs." Learn more about how these unique contracts fund their work: https://lnkd.in/gev6qx-c #StanfordCDH #DigitalHealth #LargeLanguageModels #PatientExperience #PatientCommunication
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Yanshan Wang, PhD, FAMIA
On September 24, 2024, from 12:00 pm to 1:00 pm EDT, we will host our second talk of the month featuring our old friend Dr. Paul M. Heider, a long-time member of the AMIA NLP Working Group and a clinical NLP researcher from the Medical University of South Carolina. His presentation is titled "Behavioral Testing and Evaluation to Probe Language Models for Algorithmic Bias." Register here: https://lnkd.in/ewnizWjH Abstract: With growing legal and scientific evidence for the importance of reducing model bias, both model developers and deployers need tools to quantify the bias. Unfortunately, algorithmic bias can take as many forms as there are implementations. In this talk, Paul M. Heider covesr a range clinical NLP use cases like de-identification and predicting diagnoses, highlighting the utility of behavioral testing and comparative evaluation methods to identify the scope of a model’s bias. These approaches can be leveraged at the training, testing, and evaluation stages to benefit researchers doing de novo model development and community members tasked with choosing between multiple third-party models to deploy.
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