Incucyte® - Live-Cell Analysis Systems’ Post

Normally, this process takes years with traditional methods. But thanks to cutting-edge AI technology, Insilico Medicine is closer to faster, more efficient drug discovery. Just imagine what this could mean for patients and their families. No more endless waiting, no more long clinical trials. And this is just the beginning. AI-driven drug discovery is revolutionizing healthcare as we know it. With the potential to unlock new treatments and cures, we're now realizing the true power of AI in healthcare. Are you as amazed as we are? Let us know in the comments. #AI #ArtificialIntelligence #Medicine #Cancer #BinaroAI

AI is changing the game in drug development! Exscientia's breakthrough in treating an 82-year-old's resistant blood cancer shows how personalized treatments and faster discoveries are now within reach. 💊 Get the latest about Artificial Intelligence with our AI Logs newsletter. 💡 Deep insights crafted for you every Wednesday. Subscribe now 👉 https://ie.social/eR3ZX #ai #artificialintelligence #engineering

More accurate prognoses and treatments tailored to patients: entrepreneurs claim AI can be harnessed for breakthroughs in beating cancer. One founder is using lab-grown human organs in combination with AI to test drug efficacy. #ai

Artificial Intelligence could become an invaluable tool for lung cancer treatment, helping to predict and personalize. Here's how AI tools could help determine the right move. #AI #ML #futurism #IntelligenceFactory #digitaltransformation #DX https://lnkd.in/gZPvsVJJ

Happy new year to my LinkedIn community! Interesting news to wake up to! Congratulations Aiforia Technologies. One of the questions I keep getting asked is how will academics in general approach AI for digital pathology? Self-development is something we saw historically within radiology AI, but as the market matured and comparisons emerged the market inevitably pivoted back to commercial solutions tried and tested across larger and more diverse sets of data. Pathology however, contains such a vast array of use cases for AI that it's unlikely vendors will be able to meet the entire spectrum of use cases any time soon... What do you think? #signifyresearch #digitalpathologyai #digitalpathology

🧬🔬 Analyzing high-throughput in vitro genomic data is no walk in the park!. First, there's the issue of noise in response measurements making it tricky to develop accurate predictors on independent data. 🤖 Enter AI methods! We have tons of preclinical pharmacogenomic data at our disposal, but we need solutions that can not only generalize across different domains but also integrate various data modalities. 🏥 On the clinical side, there's a dire need for more clinical trial datasets to be readily available. These are the lifeblood of AI models, helping us train, fine-tune, and validate predictions. 🧠 AI-based predictors are fantastic at handling high-dimensional data and are highly scalable. However, the complexity of treatment decisions goes beyond what most AI models are currently trained for. More on the topic from Benjamin Haibe-Kains' talk at #ESMO23 ESMO - European Society for Medical Oncology. Slides are open-source, feel free to use: http://bit.ly/3S9D6b1 #ESMO23 #AIinHealthcare #DataScience #ResearchChallenges

Interesting discussion of how AI can be responsibly integrated into some aspects of oncology patient care, but also about how to protect patients from hidden biases of AI.

Create an A.I. Driven Product with Computer Vision and ChatGPT Tutorial on using Deep Learning and GenAI to create a medical dashboard for melanoma skin cancer.Continue reading on Towards Data Science »... https://lnkd.in/e3yRTSeG #AI #ML #Automation

Artificial Intelligence could become an invaluable tool for lung cancer treatment, helping to predict and personalize. Here's how AI tools could help determine the right move. #AI #ML #futurism #IntelligenceFactory #digitaltransformation #DX https://lnkd.in/gGxa9EYs

AI is already playing an important role in Drug Discovery and is set to play an increasingly crucial role in the future of medicine. It's about finding completely new drug targets and about validating existing ones. For instance, AU-409 has shown a novel approach to treating hepatocellular carcinoma. AI-guided discoveries often revalidate known targets, providing fresh insights and potential breakthroughs. Combining AI with deep biological understanding is set to revolutionize cancer survival. Usong these innovations to address the most challenging, drug-resistant cancers, we have a highly ethical application of AI. The future is promising with AI, and this transformative journey is just beginning. #AI #Medicine #Innovation #DrugDiscovery #CancerResearch #Healthcare #FutureTech