Tamara (Zubatiy) Nelson, PhD

New healthcare AI models have been developed to synthesize specific compounds and predict drug-target interactions. Read this blog to learn more ways AI aids healthcare. #ConnectionHealthcare https://bit.ly/3CBtD6S

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New healthcare AI models have been developed to synthesize specific compounds and predict drug-target interactions. Read this blog to learn more ways AI aids healthcare. #ConnectionHealthcare https://bit.ly/3Cx8KK1

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New healthcare AI models have been developed to synthesize specific compounds and predict drug-target interactions. Read this blog to learn more ways AI aids healthcare. #ConnectionHealthcare https://bit.ly/4fss5de

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#GenerativeAI in #Lifesciences makes you nervous? That's because you haven't seen the latest use cases. Join our webinar on September 4 at 9am PT | 12pm ET to learn how to accelerate drug development with BioRAG. Overcome data silos and regulatory challenges with a #SOTA architecture created by our partner BIP based on Domino Data Lab, OpenAI on #Azure, and LangChain Sneak peek into the benefits ⚕️ Enhancing Clinical Trials: Improve efficiency and safety with advanced document retrieval and summarization. 📜 Navigating Regulatory Challenges: Maintain compliance with industry regulations. 🛠️ Technical Implementation of BioRAG: Learn the architecture and setup within Domino’s AI Hub. Register now! https://gag.gl/AKxQj8 #LifeSciences #AI #DrugDevelopment #Webinar

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In a recent article, Mary Frankham and I discussed how AI has the potential to transform healthcare, especially in cancer care, where significant AI investments are already making a real difference. Speeding up cancer diagnosis and treatment directly leads to better patient outcomes. AI is now beginning to support & augment doctors capability with the launch of new AI enabled tools like Color Health's Copilot, helping speed up collation & analysis of cancer patient histories, results, etc to recommend treatment plans. These technologies are poised to drive efficiencies and improve patient outcomes. Their ultimate success depends on effective training for healthcare professionals, balancing AI's powerful data insights with a comprehensive human oversight and validation frameworks. #AI #Healthcare #CancerCare #ChangeMangement #HealthData #HealthTech

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New healthcare AI models have been developed to synthesize specific compounds and predict drug-target interactions. Read this blog to learn more ways AI aids healthcare. #ConnectionHealthcare https://bit.ly/3Cw9lvz

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Today we announce the release of API Endpoints for medical language models on AWS SageMaker, Databricks Marketplace, and Snowflake Marketplace. This development brings John Snow Labs’ state-of-the-art healthcare artificial intelligence models to a wider audience through a simplified, secure API integration process. Customers can buy and deploy private API endpoints with a few clicks, making it faster and easier to get started. There is no need to manage servers, uptime, failover, scaling, or security updates, as the endpoints are fully managed. Models are available for specific healthcare language understanding tasks such as medical text de-identification, summarization, information extraction, and question answering, and are regularly updated to ensure users have continued accuracy. #HealthcareAI #APIs #AIinHealthcare #MedicalLanguageModels #DataSecurity #Compliance #PrivateAPI #JohnSnowLabs #AWSMarketplace #Databricks #Snowflake #ResponsibleAI #AIModels #NLP #HealthcareInnovation

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New healthcare AI models have been developed to synthesize specific compounds and predict drug-target interactions. Read this blog to learn more ways AI aids healthcare. #ConnectionHealthcare https://bit.ly/3UUQEYE

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What I’m reading today “Over the past year or two, healthcare providers have been increasingly leveraging LLMs to alleviate clinician burnout by generating medical summaries. However, the industry still has concerns about hallucinations, which occur when an AI model outputs information that is false or misleading. For this study, the research team collected 100 medical summaries from OpenAI’s GPT-4o and Meta’s Llama-3 — two up-to-date proprietary and open-source LLMs. The team observed hallucinations in “almost all of the summaries,” Prathiksha Rumale, one of the study’s authors, said in a statement sent to MedCity News. While these AI models can speed up tedious language processing tasks like medical record summarization, the summaries that they produce could potentially be dangerous, especially if they are unfaithful to the source medical records, he pointed out. “Assume a medical record mentions that a patient had a blocked nose and sore throat due to Covid-19, but a model hallucinates that the patient has a throat infection. This may cause the medical care professionals to prescribe wrong medicines and the patient to overlook the danger of infecting the elderly family members and individuals with underlying health conditions,” Naik explained. Similarly, an LLM might overlook a drug allergy that is documented in a patient’s record — which may lead a doctor to prescribe a drug that could result in a severe allergic reaction, he added.” Damn. I love labor saving tech as much as the next person (and yes I’ve used the various AIs in my work) but is GenAI really ready for prime-time? imagine an employee performing with this level of inaccuracy. Would it be acceptable? Or would you fire this person? https://lnkd.in/gJpYVfWS

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The Doctor's New Partner AI Join us for a sneak peek into our conversation with Dr. Steve Sharlapp, founder of Soap Health, as he dives into the powerful role of AI in reshaping healthcare. In this highlight, Dr. Sharlapp discusses key AI-driven advancements that are elevating medical diagnostics, improving patient outcomes, and enhancing the doctor-patient relationship. Get inspired by Soap Health's innovative approach to bridging critical gaps in healthcare—exploring how precision, efficiency, and AI innovation are setting new benchmarks in patient care. Substack Link:(https://lnkd.in/exjcfyhE) #HealthcareInnovation #AIinHealthcare #SoapHealth #DigitalHealth #PatientCare #MedicalDiagnostics #HealthTech #FutureOfHealthcare #DrSteveSharlapp #AI

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Today's patients don't think twice about accessing their health records through a patient portal or communicating with health providers through a telehealth app.  As designers of digital health solutions in a time when companies can, in theory, know anything about the patients they serve—we bear a heavy responsibility. And we take that responsibility very seriously. It starts with a new Hippocratic oath for the digital age:  ⚙ Respect people’s trust above all else  ⚙ Keep any disclosed information secure ⚙ Guide users to adopt safer behaviors online, even if they are less inclined to do so themselves. Ready to delve deeper? Read the full article, “Personalized Digital Health: The Opportunity and Our Responsibility”: https://lnkd.in/ggn2T2ZX   -- Delve is a product innovation firm that helps companies bring bold ideas to market through human-centered expertise— strategy, design, engineering. Learn more about Digital Product Design services at Delve: https://lnkd.in/gtBp9KgM   #digitaldesign #digitalproducts #digitalhealth

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NEW EPISODE ALERT When we think about how to best leverage AI in support of making health outcomes better, we should think about how to support humans, not replace them. Join Blake Madden, Founder of Hospitalogy, and host Ann-Somers Hogg as they explore how generative AI supports or hinders human health and some of the promising offerings that serve humans' desires for relationships, accountability, and community. Listen here: https://lnkd.in/gdaBdjU6 Clayton Christensen Institute #genAI #healthcare #leadership #strategy #podcast

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I have learned so much from SaaS Academy about leading a SaaS business. This book by Dan Martell, Marcel Petitpas, Matt Verlaque, and Johnny Page brings all that together as science. Check out this book if you want to grow your SaaS business. [Link to the book: softwarebook.com]

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