Happy AI Friday! You might not be familiar with the predictive model being built at Dana-Farber Cancer Institute called OncoNPC, but it's exciting for humans concerned about cancer. The goal is to train this model across many disparate datasets, including genomic data, to better identify sites of origin for cancers. In an interview with Center for Healthcare Innovation writer David Raths, Dr. Alexander Gusev described their data challenge: "There's a global challenge in academia of patient and clinical data sharing because it is almost always coming from sensitive patient groups, sometimes who have not consented to have their data shared. But even if they have consented to data sharing, they are still always concerned about de-identification with genetic data." By utilizing Duality's Confidential AI solution, which combines Confidential Computing with Federated Learning, Dr. Gusev and the team can move much faster in terms of both attracting and onboarding new data partners (health care providers) as well as analyzing the data from the partners they already have. "Our hope is that from there we can recruit others...that this can work in a plug-and-play way for two hospitals. I think that'll be the practical way to convince people that this can continue to work at a larger number of institutions." Dr Gusev closed by describing the significance of the ready-to-deploy solution by Duality "The ability to move through different levels of security — to either have just a federated approach where nobody has access to anybody else's data, or, on top of that, have a Trusted Execution Environment where even those individual data analyses are done in highly secure environments — that kind of flexibility is something that's pretty unique that I haven't seen from other tools. I think, especially as we try to expand this out to other institutions, they may have additional restrictions that they want to impose on their individual unit, and this software service allows us to do that. So that's also the future-proofing nature of this. If somebody wants something even more secure, we can toggle that on for them. " Read the interview with Dr. Alexander Gusev here: https://lnkd.in/dv52-ERE #oncology #healthcare #realworlddata #dataprivacy #machinelearning #secureAI #confidentialAI #confidentialcomputing #federatedlearning
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AI holds a huge promise for revolutionizing healthcare, particularly in cancer research. But this potential can only be realized if we ensure data privacy and protection during the use of AI. That's where Duality Technologies comes in, empowering organizations like Dana-Farber Cancer Institute to utilize AI responsibly. Check out this interview by Dr. Alexander Gusev and Adi Hirschtein
Happy AI Friday! You might not be familiar with the predictive model being built at Dana-Farber Cancer Institute called OncoNPC, but it's exciting for humans concerned about cancer. The goal is to train this model across many disparate datasets, including genomic data, to better identify sites of origin for cancers. In an interview with Center for Healthcare Innovation writer David Raths, Dr. Alexander Gusev described their data challenge: "There's a global challenge in academia of patient and clinical data sharing because it is almost always coming from sensitive patient groups, sometimes who have not consented to have their data shared. But even if they have consented to data sharing, they are still always concerned about de-identification with genetic data." By utilizing Duality's Confidential AI solution, which combines Confidential Computing with Federated Learning, Dr. Gusev and the team can move much faster in terms of both attracting and onboarding new data partners (health care providers) as well as analyzing the data from the partners they already have. "Our hope is that from there we can recruit others...that this can work in a plug-and-play way for two hospitals. I think that'll be the practical way to convince people that this can continue to work at a larger number of institutions." Dr Gusev closed by describing the significance of the ready-to-deploy solution by Duality "The ability to move through different levels of security — to either have just a federated approach where nobody has access to anybody else's data, or, on top of that, have a Trusted Execution Environment where even those individual data analyses are done in highly secure environments — that kind of flexibility is something that's pretty unique that I haven't seen from other tools. I think, especially as we try to expand this out to other institutions, they may have additional restrictions that they want to impose on their individual unit, and this software service allows us to do that. So that's also the future-proofing nature of this. If somebody wants something even more secure, we can toggle that on for them. " Read the interview with Dr. Alexander Gusev here: https://lnkd.in/dv52-ERE #oncology #healthcare #realworlddata #dataprivacy #machinelearning #secureAI #confidentialAI #confidentialcomputing #federatedlearning
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Senior Data Analyst | Building Data Team | IIM Alumnus | SQL | Python | R | Power BI | Data Quality | Driving Efficiency, Accuracy & Growth | Let's Transform Your Organizational Success! 📈
🚨 Empowering Healthcare with Data-Driven Insights 🚨 I am sharing my recent project in the healthcare domain: Breast Cancer Prediction using Logistic Regression: This initiative highlights the potential of machine learning to address critical challenges in healthcare by predicting the likelihood of breast cancer based on diagnostic data. It aims to support healthcare professionals in making informed, timely decisions that can improve patient outcomes. 💡 Why This Matters: Early detection of breast cancer can save lives. By applying AI and data science techniques, this project showcases how technology can revolutionize healthcare and enhance drug safety through precision medicine. 🚀 Highlights: Developed a predictive model using logistic regression to analyze diagnostic data. Achieved high accuracy in distinguishing between malignant and benign cases. Prioritized ethical AI practices, ensuring transparency and reproducibility. 🌍 Let’s build a future where technology and healthcare unite to safeguard lives and advance drug safety practices. 📚 Explore the Project: The complete code and methodology are available on GitHub: https://lnkd.in/gKAE5uKt #MachineLearning #HealthcareInnovation #BreastCancerAwareness #DataScience #DrugSafety #healthcare
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As someone who's deeply passionate about accelerating medical breakthroughs, I constantly see the roadblocks unstructured EHR data creates for clinical trials. That's why I'm incredibly excited about Science4Tech's CapTrial© solution! This innovative tool leverages GenAI to instantly structure patient data in EHRs, including anamnesis, clinical data, and lab results. This means: breaking down the data silos for faster insights, reduced data transformation costs and interconnectivity hurdles, as well as improved accuracy by reducing human errors. I'm so proud of the Science4Tech team for developing this game-changer. We've included a short video showcasing CapTrial@ below. Take a look and let's discuss how we can revolutionise clinical research together! PS.- Feel free to share your thoughts and experiences with complex EHR data in the comments!
🤯 Struggling to unlock valuable insights from your EHRs? 80% of healthcare data is unstructured - text, notes, and reports - making it difficult to analyze. CapTrial changes the game. Our platform uses Generative AI to structure, contextualize, and analyze this data. Watch our new video to discover how CapTrial can unlock hidden insights and transform your EHR data into actionable intelligence. Join our upcoming workshop to see a live demo! ️ “From Data Chaos to Cure: Leveraging AI in the Oncology Practice” 📍Meet2Win (Bordeaux) ️ 🗓️ May 16th ⏱️ 4:15 PM CET Can't make it? Contact us today to schedule an online demo! #CapTrial #AIinHealthcare #EHR #DataInsights #Oncology #ClinicalDataManagement #AIClinicalTrials #Innovation #HealthTech #GenAI
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🤯 Struggling to unlock valuable insights from your EHRs? 80% of healthcare data is unstructured - text, notes, and reports - making it difficult to analyze. CapTrial changes the game. Our platform uses Generative AI to structure, contextualize, and analyze this data. Watch our new video to discover how CapTrial can unlock hidden insights and transform your EHR data into actionable intelligence. Join our upcoming workshop to see a live demo! ️ “From Data Chaos to Cure: Leveraging AI in the Oncology Practice” 📍Meet2Win (Bordeaux) ️ 🗓️ May 16th ⏱️ 4:15 PM CET Can't make it? Contact us today to schedule an online demo! #CapTrial #AIinHealthcare #EHR #DataInsights #Oncology #ClinicalDataManagement #AIClinicalTrials #Innovation #HealthTech #GenAI
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Chief Medical Officer @ Nexus Alliance Biopharmaceuticals | Medical Scientist Training Program & Hem. Onc. with IO sub- Fellowship. “Once a Marine, always a Marine. What you do now is just another billet.” USMC.🇺🇸
Visit www.oncologyGPS.com In the realm of cells and silent battles, Where life's essence weaves and rattles, A companion emerges, not of flesh, but code, A sentinel in the healing abode. **AI, the ally, with algorithms so bright,** **Crafting diagnostics in the absence of light.** It reads the patterns, the data it gleans, To unveil the unseen, in binary streams. With each scan and sample, it learns, Through neural networks, it discerns. The malign from benign, the chaff from the wheat, In its silicon mind, no cancer can cheat. **Prognostics it renders, with precision so keen,** **A digital oracle, on the screen.** Predicting outcomes, charting the course, Guiding the doctors with gentle force. In the fight against cancer, a formidable foe, This AI companion, a beacon does glow. A tool of hope, in the darkest night, Shining the path, towards health and light.
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🎓 B. Pharm Student | D. Pharm Graduate | Passionate About Pharmaceutical Manufacturing & Marketing | Aspiring to Excel in the Pharma Industry
"Thrilled to have completed the WHO course on 'Integrating Ethics and Governance into the Design of Artificial Intelligence Tools for Health: Case Study on Cervical Cancer Screening.' This program provided invaluable insights into the ethical and governance challenges in applying AI to healthcare, ensuring technology serves humanity responsibly. Grateful to WHO for this incredible learning opportunity! #AIinHealthcare #EthicsInAI #LifelongLearning #WHO #HealthcareInnovation"
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Oracle's Larry Ellison stated that artificial intelligence (AI) can detect cancer, aid in vaccine development, and produce a personalized vaccine within 48 hours. He made this remark during a White House gathering attended by SoftBank CEO Masayoshi Son and OpenAI CEO Sam Altman. #ArtificialIntelligence #Oracle #OpenAI
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🎗️ It was only a matter of time. Artificial intelligence is stepping up in one of the most critical battles of our time: the fight against cancer. 🌍💡 AI is reshaping the future of healthcare, and Stanford University School of Medicine’s recent breakthrough is a game-changer. This innovation has unlocked the potential to analyze tumors rapidly and effectively, transforming patient care and offering unprecedented hope. 💬 As Olivier Gevaert PhD, puts it: “This kind of software could be used to quickly identify gene signatures in patients’ tumors, speeding up clinical decision-making and saving the health care system thousands of dollars.” This isn’t just a step forward—it’s a leap. A leap toward a world where technology not only accelerates progress but also saves lives. It’s about precision, innovation, and giving patients a fighting chance. But what does this mean for the future of healthcare? Will AI-powered tools like this redefine how we approach cancer treatment? Or is this just the beginning of a broader transformation in patient care? - - - 👋 I’m Marcelo, an entrepreneur building a transformative AI startup. Always exploring bold ideas and connecting with those ready to disrupt the ordinary. Follow me on the journey—let’s create something extraordinary together. #AIInHealthcare #HealthcareInnovation #CancerResearch #StanfordMedicine #TechForGood #HealthTech
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Over the last couple years AI has gone from something not many of us knew very much about to something we've started using - whether we realize it or not. As we move forward, interdisciplinary and transdisciplinary approaches are going to be critical for maximizing its potential to solve some of the greatest challenges that are facing us today. As one example, I'm very curious as to what is going to happen in the space digital twins and integrating it into biomedicine. Here are some thought about AI at the interface of cancer. #teamscience #interdisciplinaryresearch #collaboration #AI #Cancer https://lnkd.in/eJUTUaW4
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Businesses Developer with Adobe's solutions to transform Business Processes with Gen AI
Pfizer Delivering more content at a lower cost. This is really what the Adobe Content Supply Chain stands for.
Pfizer shared a compelling story at #AdobeSummit about how it’s transformed its content supply chain to accelerate innovations, including for cancer. Here’s the story of how they’ve done it, incl with the help of #AI. Thanks Lidia Fonseca, Drew Panayiotou & Jane von Kirchbach! https://adobe.ly/4aD6RHL
This is a perfect example of responsible AI development. Protecting privacy while leveraging data for medical breakthroughs is a win-win.