Dr. Michel Consulting’s Post

While CROs focus on protecting study timelines and quality, incorporating generative AI and other technological advancements can significantly enhance patient experience and data integrity. By leveraging AI to streamline processes, improve diversity in trials, and expedite the journey from discovery to clinic, we can achieve faster, safer, and more cost-effective clinical research. Read more in the April 2024 issue of Clinical Researcher > https://bit.ly/4bqvLLi #ACRP #ClinicalResearcher #ClinicalTrials #ClinicalResearch #ArtificialIntelligence #AI #GenerativeAI #CROs

Exciting advancements in generative AI are reshaping the landscape of clinical trials, revolutionizing the way we approach research and development in healthcare. Sapphire Ventures partner Cathy Gao shares testimonials on transformative potential of generative AI in clinical trials. #montysummit #technology #innovation #clinicaltrials #AI #generativeAI

🌟 Breaking New Ground: AI Revolutionizes Medical Research! 🌟 Dive into the transformative role of AI in the medical field and explore the hurdles we must overcome. Read our latest article to understand how technological illiteracy remains a challenge. Stay informed and part of the conversation! 🔍 💬 #AI #MedicalResearch #Innovation Read more: [AI Revolutionizes Medical Research Amid Challenges](https://lnkd.in/deEGsvzQ) 📢 Have thoughts? Share them in the comments below!

We are pleased to announce that the publication of our latest book chapter titled "An Overview of Electroencephalogram-Based Human-Computer Interface" in the book Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction. This chapter explores cutting-edge EEG-based HCI systems and their potential in advancing human-computer interactions. It’s an excellent read for anyone interested in AI, signal processing, and the future of technology! Book chapter link:  https://lnkd.in/gCNh_eU3 #Intellivia #Research #Publication #AI #HumanComputerInteraction #EEG #SignalProcessing #Innovation

The Life Sciences have some of the most controversial implications for using artificial intelligence in any industry. 🧪 From neuroimaging to drug development, AI can improve modern healthcare, or drastically alter it. 👩🔬 So, how ethical is AI in life sciences? Find out in our latest blog! 🔬👇 #weareeveolve #evolvetogether #ai

First text2protein AI model, compressing billions of years of life. Amazing? Congrats to the 310.ai team on the launch of their text2protein model. Learn how they used AMD Instinct accelerators to help train this model during a special AMD Meet the Experts next week hosted by Ryan Sagare with guests Kooshiar Azimian and Tyler Hofstede. https://lnkd.in/eyYbWQtB 800+ novel, functional and foldable proteins are discovered by researchers within the published repo. Whitepaper and repo https://bit.ly/310paper #ai #innovaiton #technology #amd

First text2protein AI model, compressing billions of years of life. Amazing? Congrats to the 310.ai team on the launch of their text2protein model. Learn how they used AMD Instinct accelerators to help train this model during a special AMD Meet the Experts next week hosted by Ryan Sagare with guests Kooshiar Azimian and Tyler Hofstede. https://lnkd.in/eyYbWQtB 800+ novel, functional and foldable proteins are discovered by researchers within the published repo. Whitepaper and repo https://bit.ly/310paper #ai #innovaiton #technology #amd

Diagnostic accuracy of artificial intelligence in detecting left ventricular hypertrophy by electrocardiograph: a systematic review and meta-analysis - Nature: Diagnostic accuracy of artificial intelligence in detecting left ventricular hypertrophy by electrocardiograph: a systematic review and meta-analysis  Nature http://dlvr.it/T9NvSt #ai #artificialintelligence

Did you know facial recognition and plant identification work in a very similar way? Step 1. Capture Image: The process begins by capturing an image, whether it’s a human face or a plant leaf. Step 2. Map Features: Key features are mapped. For faces, this includes eyes, nose, and mouth. For leaves, it includes shape, vein patterns, and edges. Step 3. Compare Features: These features are then compared to a database of known features to identify the subject. Image recognition is a fascinating field with numerous applications, ranging from medical diagnostics to enhancing safety and beyond. Where would you like to see this technology applied where it currently isn’t? #FacialRecognition #PlantIdentification #AI #ImageRecognition #Technology #Innovation #MachineLearning #Applications

Researchers outline promises, challenges of understanding AI for biological discovery - Medical Xpress: Researchers outline promises, challenges of understanding AI for biological discovery  Medical Xpress http://dlvr.it/TBjtYx #ai #artificialintelligence