Chanan Rubin’s Post

Very excited today as I fly back from my first #BioIT, in spite of low grade jet lag and less than ideal sleep. Some notable themes and talks for me included: • The Gen AI train is unstoppable right now. There were many impressive examples of in-house GPT-based tools (e.g., Med.ai-ASK at Johnson & Johnson, and the AbbVie Intelligence Platform). • Data platforms! There isn’t a one-stop shop for data management out there, so data teams are building their own (e.g., Takeda, Novartis, Roche). • Citing your sources! Gen AI struggles with this, and a ton of effort is going into source verification of LLM output. • Tech stack buildiout and, sometimes, consolidation (a very interesting talk about transitioning to one ELN at Takeda, and many more about building out tool stacks). There’s a lot to digest here, and I’ll look at each point in more detail over the next few weeks. Have an awesome Thursday everyone!

If you missed the AI at the Frontier: Empowering Early Career Professionals in Drug Discovery event last week, don't worry! You can catch up now by watching the recording here: https://lnkd.in/ewD-wJsT. #AI #drugdiscovery #professionaldevelopment

The Accreditation Council for Medical Affairs (ACMA) empowers market access and reimbursement professionals with a cutting-edge #AI solution. Our tool, Field Reimbursement & Prior Auth AI, is driven by sophisticated machine learning algorithms and trained on the largest compendium of data in the reimbursement and prior authorization field, providing essential information at your fingertips. This tool is a must-have resource for any field reimbursement or market access team. Schedule a demo call with me today to learn more! https://lnkd.in/gbGygimE #priorauthorization #marketaccess #patientaccess #reimbursement #biotech #pharma #lifesciences #AI

Yes, you read that right! Did you know it can take over 10 years and billions of dollars to bring a new drug to the market?🤦♂️ Isn't that a huge issue? We came up with an #innovative solution to this multifaced problem: At Biorce, we're leveraging the power of #ArtificialIntelligence (AI) to change that once and for all. 💪 Who are we? We're a passionate team of clinical research experts, data scientists, and AI engineers working together to: 👩⚕️Accelerate medical advancements by streamlining the drug development process. 💊 Improve patient outcomes by assisting in getting life-changing treatments to patients faster. 🤖 Our flagship product, Jarvis, is the #pioneering Clinical AI assistant. Do you want to know more? Visit our website and become part of our Beta program here: https://lnkd.in/eyVJ8bqu

Remember when we said AI is not just a "hot topic" of 2024? At DigiPharma Connect, Incedo Inc.'s Head of Data & AI, Ashish Gupta, will deep-dive further during our Fireside Chat: Empowering Customers: Harnessing Data Analytics and Predictive Insights for Future-Ready Pharma Engagement! #RoadtoDigiPharma24 #DigiPharma24 #DigiPharmaConnect2024

Our ‘60 Seconds with…’ series continues and today, it was the turn of our #AI Engineer, John Pocock. ❓ What does your everyday look like as part of the team at Histofy? 🗣 My average day consists of "turning caffeine into code", which involves drinking coffee, writing and debugging code, and engaging in thoughtful discussions about AI. ❓Tell us about a project you're currently working on. 🗣 Currently, I am collaborating with our partners to integrate our latest models. We aim to make it easy for users to perform powerful analysis of histology data in a matter of clicks. ❓Name a career goal you'd like to reach in the next 12 months? 🗣 I'm looking forward to seeing a Histofy product that pathologists will love, which can help them get their work done more efficiently. It would be great to see it approved for clinical use and make a real difference in patient outcomes. ❓Tell us what excites you about the future of Histofy? 🗣 Histology workflows are ideal for automation and assistive tools. There is a severe shortage of pathology staff to cope with the massive workload. I aim to create tools that enable fast, precise diagnoses and personalised precision medicine. Find out more about the products that John is helping shape below: https://lnkd.in/eDJxpS5r

"You are not discarding previous knowledge, you are learning better and more useful ways to solve problems, so do it for the range" This statement from Wuraola Oyewusi got me thinking about how health professionals are too adamant on staying on their lane. We think we will deviate from our lives mission if we ever choose to explore other fields. But that is simply not the case. This year alone, from interacting and listening to professionals in tech and data, has left my mind with the endless possibilities and opportunities that exist for health professionals in tech. We need to open our minds and start thinking of how we can improve practice by incorporating innovative technologies and skills in our day to day operations. My big agenda is to bring to light the need for pharmacists to build their data skills, to embrace partnerships with data scientists and analysts, to start thinking of how incorporating AI and Machine learning will change current practice. The future pharmacist needs to be open minded. #pharmacistsindata #datascience #dataanalytics #openmind #careerdevelopment Have a read:👇🏿👇🏿👇🏿 https://lnkd.in/dHg2i-Ui

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Johnson & Johnson is making one of the biggest bets in the #healthcare industry on using data science and artificial intelligence to bolster its work. The 137-year-old pharmaceutical and medical-device company has hired 6,000 #data scientists and #digital specialists in recent years, and spent hundreds of millions of dollars on their work, such as using machines to scour massive #health-record datasets. Last year the company opened a state-of-the-art research site near San Francisco that houses advanced data science. Some early efforts focus on diagnostics, like an algorithm that analyzes heart tests to spot a deadly type of high blood pressure much sooner than humans can, and voice-recognition technology to analyze speech for early signs of Alzheimer’s disease. There’s a virtual-reality goggle set to help train surgeons on procedures like knee replacements.   The long game, though, is a goal that has seen a lot of hype but less concrete proof that it will become a reality: using AI for drug discovery.  #datascience #artificialintelligence #ai #strategy