Science4Tech’s Post

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!

🚨 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

𝐒𝐦𝐚𝐥𝐥 𝐀𝐈, 𝐁𝐢𝐠 𝐈𝐦𝐩𝐚𝐜𝐭 𝐢𝐧 𝐎𝐧𝐜𝐨𝐥𝐨𝐠𝐲 We’ve been working with one of our client , something exciting in the oncology space: Micro LLMs! These are specialized, super-efficient AI models built to transform how we handle healthcare data. Here’s what they bring to the table: 𝐒𝐩𝐨𝐭-𝐎𝐧 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 Our AI model is laser-focused, boosting data accuracy to 89% while skipping the fluff. You get the insights that truly matter! 𝐁𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐎𝐧𝐜𝐨𝐥𝐨𝐠𝐲 This isn’t just any AI—it’s designed specifically for oncology. That means 42% faster results and insights tailored to cancer care. 𝐒𝐦𝐚𝐥𝐥 𝐛𝐮𝐭 𝐒𝐦𝐚𝐫𝐭 It’s compact, cost-effective (saving 30% on expenses), and super easy to use. No extra hassle, just results. This brings future of AI is step towards micro LLM’s and we’re proud to be part of it. Let’s make a difference together! #MicroLLM’s #HealthcareAI #HealthcareLLM #AIforHealthcare

Carta Healthcare Expands AI Platform with Realyze Intelligence Acquisition Learn more & get our take 👇 https://lnkd.in/gXXcJnh2 “We believe data is the single most important ingredient to improve healthcare. We are inspired by Realyze Intelligence’s shared ability to maximize insights from clinical data for clinical trials and cancer registries.” — Brent Dover, CEO at Carta Healthcare “High-quality, timely data is essential for identifying eligible patients, yet much of it remains trapped in EHRs. We are excited to revolutionize clinical trial matching and improve outcomes with Carta Healthcare.” — Aaron Brauser, Founder and CEO at Realyze Intelligence #SoHCNews

Very exciting to see Slice of Healthcare's insights on Carta Healthcare's expansion into Oncology Clinical Trials matching. SoHC's Take The acquisition of Realyze Intelligence positions Carta Healthcare as a leader in leveraging AI to address critical challenges in healthcare research and clinical data abstraction. This integration brings significant value to oncology research, where trial participation remains critically low. By automating patient identification and reducing the labor-intensive processes tied to unstructured data in EHRs, the combined technology can enable faster clinical advancements and improve patient outcomes. With cancer research as a focal point, this collaboration underscores the growing role of AI in healthcare innovation and transformation.

Ever since it was announced, our strategic collaboration with Carta Healthcare has generated a buzz : “By automating patient identification and reducing the labor-intensive processes tied to unstructured data in EHRs, the combined technology can enable faster clinical advancements and improve patient outcomes. With cancer research as a focal point, this collaboration underscores the growing role of AI in healthcare innovation and transformation.” Learn more about how our combined platforms reduce labor demands for clinical data abstraction and research, while enhancing clinical trial feasibility from Slice of Healthcare: https://lnkd.in/gXXcJnh2 #AIinHealthcare #EHRData #HealthTech #ClinicalData #ClinicalDataAbstraction #ClinicalTrialsForAll #NoMoreZombieTrials #ClinicalTrialInnovation #AIinPrecisionOncology #AIOncology

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

🚀 𝐀𝐈 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐀𝐦𝐢𝐝𝐬𝐭 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬   𝐀𝐈 𝐢𝐬 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 with its potential to analyze data at the cellular level to predict cancer drug efficacy and detect breast cancer with unprecedented accuracy.    Yet, the journey to widespread AI adoption is fraught with challenges:   1. 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐀𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Ensuring consistent and accurate data across fragmented systems. 2. 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐬𝐭𝐬: High investment in infrastructure, compliance, and training. 3. 𝐀𝐜𝐜𝐞𝐩𝐭𝐚𝐧𝐜𝐞: Building trust among healthcare professionals and patients. 4. 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧: Developing robust frameworks to assess AI's impact. 5. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 & 𝐒𝐤𝐢𝐥𝐥 𝐆𝐚𝐩𝐬: Bridging the expertise gap with specialized training and roles.   Despite these hurdles, the future looks promising. 𝐁𝐲 𝐭𝐚𝐜𝐤𝐥𝐢𝐧𝐠 𝐭𝐡𝐞𝐬𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐡𝐞𝐚𝐝-𝐨𝐧, 𝐰𝐞 𝐜𝐚𝐧 𝐮𝐧𝐥𝐨𝐜𝐤 𝐀𝐈'𝐬 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐯𝐞 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐢𝐧 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, driving innovation, improving patient care, and enhancing operational efficiency. 💡✨   At 𝑽𝒊𝒗𝒂𝒄𝒕𝒊𝒔, we believe in innovation. Discover our products and services at www.vivactis.ch or contact us at [email protected].   #Innovation #DigitalTransformation #HealthcareAI

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

The healthcare industry is on the cusp of a revolution. The global healthcare AI market has already reached a value of $6.6 billion, with a projected annual growth rate of 41% between 2022 and 2028. Gen AI's impact is not merely a future promise – it's already delivering tangible results. Take, for instance, the impressive 5.7% improvement in breast cancer diagnosis accuracy achieved through medical imaging GANs (a form of Gen AI). But the true power of Gen AI lies in its ability to address some of healthcare's most persistent pain points. The painstaking process of diagnosing complex medical conditions, the relentless search for effective drug candidates, and the ongoing struggle to provide personalized treatment recommendations. While the promise of Gen AI in healthcare is undeniable, it's crucial to acknowledge the challenges and ethical considerations that lie ahead. The thought leaders in the field must foster open discussions and establish robust ethical frameworks to ensure responsible and equitable implementation of this transformative technology. Head over to our blog for in-depth insights into Gen AI's practical applications in healthcare, its challenges, advantages, ethical considerations and future implications. https://lnkd.in/g_P3tb-B #genAI #HealthcareAI #healthcareinnovation