HealthTech Magazines’ Post

From supply chain management to manufacturing, diagnostics and drug development to clinical trials, the pharma and biotech industry has embraced the introduction of artificial intelligence and machine learning in healthcare. How will regulations impact the use of AI/ML in healthcare? Watch Mike Ward and Mattew Arnold discuss pharma’s increasing use of AI, Gen AI and ML below. Read more on Life Sciences & Healthcare Trends to Watch in 2024 here: https://ow.ly/me3150QiMWz #AI #ML #GenAI #biotech #trendstowatch

🤖 AI in Pharma: 'AI for Clinical Trial Intelligence' 🌐 How can we help with AI in Pharma: Here's how 🚀 We offer a 12-week pilot program, allowing you to explore various AI use cases and experiment. This low-risk approach enables Business teams to experiment AI firsthand. 🚀 To start your AI journey. Contact us at info@slickbit.com Visit us at https://lnkd.in/g3QRaWQR #GenerativeAI #GenAI #AI4Pharma #ClinicalTrials #AI4ClinicalTrials #ClinicalTrialIntelligence

Are you attending the #CNSSummit? Register for our can't-miss discussion - The Cutting Edge of Pharma: AI and RWD: https://ow.ly/HgTK50Q4zA8. Our expert panelists, Dr. Luca Parisi, Matt Holms, Lance Wolkebrod, and Dr. Rahul Das, along with moderator Haley Quinn, will cover the following: - The increasing importance of biomarkers - Patient-centric trends - The strategic utilization of AI and RWD for optimizing clinical trial execution - How to harness diverse data sources and integrate data points to form a comprehensive picture - How to leverage AI to gain a competitive advantage in clinical research Take advantage of this opportunity to learn from the brightest minds in #pharma and hear about the latest innovations in #AI and #RWD.

Intego Clinical specialists Kostiantyn Drach and Sergey Glushakov are inviting you to evolve your clinical trial processes with Risk-based Monitoring.  In a new paper titled “Risk-based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data” presented at the PHUSE/FDA Innovation Challenge at the PHUSE US Connect 2024 conference, the authors spearhead a new approach to utilizing AI/ML techniques, including graph-based machine learning algorithms, to find systematic bias in clinical data. Based on the publicly available National Institute on Drug Abuse (NIDA) dataset, investigating the effectiveness of the buprenorphine/naloxone combination tablet in treating patients with opiate dependence, the presenters demonstrated the efficacy of these solutions. 🚀 Click to discover more about the transformative strategies for modern clinical trials https://bit.ly/49A7Ib3 #IntegoGroup #IntegoClinical #PHUSE #FDA #ClinicalResearch #AI #MachineLearning #RiskBasedMonitoring

Dive into the future of healthcare with our latest white paper on #GenerativeAI Implementation in #LifeSciences. Learn how #AI is revolutionizing drug discovery, patient care and more. Download now and stay ahead of the curve. https://ow.ly/GrsZ50QQnWq Tanuj Mehra, Erion Lipo, Ph.D., Kevin Yin, Jordan A. S.

Transforming Clinical Research with AI and Machine Learning AI and ML are revolutionizing clinical research by enhancing data analysis and decision-making. From biomarker discovery to patient stratification, these technologies are enabling personalized treatment strategies and accelerating drug development processes. Discover how AI and ML are shaping the future of healthcare! #ClinicalResearch #AI #MachineLearning #HealthcareInnovation 

NEW PUBLICATION ALERT: AI and Regulatory Innovation in Healthcare: Shaping the Future At BIO 2024, The Alliance for Artificial Intelligence in Healthcare (AAIH) hosted a panel of members to discuss the challenges of AI and Regulatory Innovation. Expertly moderated by Paul Howard, PhD, the panel worked through a SWOT analysis on the current state of AI and regulation. The panel brought together diverse perspectives from Christopher Escobedo Hart, Mida Pezeshkian, PhD, Brandon Rice, and Alex Zhavoronkov. Read more about this new publication here: https://lnkd.in/e6kza8P3 #AAIH #AI #AIinhealthcare #innovation #aiinnovation #regulatoryinnovation

New publication from The Alliance for Artificial Intelligence in Healthcare (AAIH) following the highly informative panel at #BIO2024 Read more about AI regulatory innovation in healthcare, SWOT analysis for AI and Regulatory Innovation. Well done Paul Howard, PhD Christopher Escobedo Hart Mida Pezeshkian, PhD Brandon Rice Alex Zhavoronkov

In today's fast-moving market, the evolution of AI is presenting unprecedented opportunities in life sciences to streamline processes, enhance engagement, and accelerate growth. Register for our latest webinar on generative AI use cases, trends and regulatory challenges here: https://bit.ly/3P9DaVa Panelists will share insights on: 🛠️ Practical use cases that life sciences commercial teams can adopt to harness the full potential of generative AI in key areas 📈 Future trends in the AI-driven pharmaceutical landscape ⚖️ Ethical implications and regulatory challenges around implementing generative AI technologies in life sciences and strategies for responsible AI adoption Teja Ream, Vyom Bhuta, Leo Barella, Jason O'Meara, Florent Edouard #Pharma #AI #GenerativeAI #ArtificialIntelligence

Join the upcoming panel discussion about Three Pillars of Clinical Development in Precision Medicine on the 7th of December. Key Areas of Discussion: Complex Data Challenges AI / ML Applications The Future of Precision Medicine-Driven Research Organizations https://lnkd.in/eZrqggPr