BIOS’ Post

🔬 Exciting Developments in AI for Pharma & Healthcare Research! 🚀 Delve into the groundbreaking research paper by Dr. Subrat Kumar Bhattamisra shedding light on the transformative role of AI in Pharmaceutical and Healthcare Research. 🔍 Key Insights: * Unveiling the synergies between AI and drug discovery, personalized medicine, and clinical trials. * Exploring how AI-driven approaches are revolutionizing disease diagnosis and prognosis. * Unlocking the potential of AI in optimizing drug development processes, from target identification to clinical trials. * Addressing the challenges and opportunities in integrating AI into healthcare systems for enhanced patient care. 🌟 Don't miss out on this pivotal contribution to the field! Read the full paper here: https://lnkd.in/gfySXE6u ☘ 🤖AI & ML in Biotechnology 🤖 ☘ 💡Join me on this journey as we harness the power of data to unravel the mysteries of life itself. Let's collaborate, innovate, and transform the future of biotechnology together! #MachineLearning #ToxicityPrediction #PharmaceuticalResearch #BiotechAI #MLinBiotech #AIinBiotech #DSforBiotech #BiotechDataScience #Bioinformatics #BiotechAnalytics #AIHealthcare #MLMedicine #BiotechInnovation #DSBiotech #PrecisionMedicine #BioAI #MLResearch #AIinDrugDiscovery #BiotechTech #DataDrivenBiotech #AIHealth #BioML #BiotechInsights #MLforHealthcare #AIinGenomics #BiotechStartups #DSinHealthcare #BiotechTrends #MLBiotechApplications #AIinBiomedical #BiotechInnovations #DataScienceBio #AIinLifeSciences #Datascience #InSilicoDreams #AI #FutureTech

Today, our Academic Dean, Salavadi Easwaran delivered a guest lecture at The Oxford College of Science on the role of artificial intelligence in the biopharma and pharma sectors, focusing on early-stage drug discovery and diagnosis. The session highlighted how AI speeds up the process of identifying potential drug candidates, refines clinical trials, and increases diagnostic accuracy. Participants were also introduced to the integration of AI at different stages of drug development, its use in predictive analytics, and its transformative effects on healthcare innovation. #ai #biosciences #biotechnology #drugdiscovery #healthcare #growth #innovation #learning #pharma #predictiveanalytics #science #technology

🚀 The landscape of #Biopharma R&D is undergoing a transformative shift! Historically plagued by low productivity, high failure rates, and lengthy development timelines, the industry now faces increasing pressure to innovate as patent cliffs loom and pipelines need replenishment. 🌟 Enter the era of #DigitalHealth tools in biopharma research or #TechBio. This movement is driving traditional biopharma companies to leverage the power of big data and advanced #AI, including #GenerativeAI. These technological advancements are / will significantly enhance the efficiency and effectiveness of R&D functions. 🇪🇺 #Europe is home to some of the most promising #TechBio innovators. Rising stars such as myNEO Therapeutics (Belgium), Concr (United Kingdom), Epigene Labs (France), kaiko.ai (Netherlands), and ADLIN Science (France) are leading the charge. 📅 Stay tuned over the next few days as Galen Growth | Insights You Can Trust profiles each #RisingStar company, highlighting their uniqueness. #Biopharma #TechBio #DigitalHealth #AI

Learn how knowledge graphs & LLMs can help you search and discover hidden causal relations 🔬🧬 Advancing drug discovery or biomarker identification in pharma R&D is challenging when critical insights are spread across internal, public, and commercial databases. ⚡️Join our upcoming webinar with metaphacts GmbH where we’ll explore how #AI & knowledge graphs are transforming pharma research. One use case we’ll focus on is scientific validation, showing how LLMs can precisely identify causal relationships from unstructured full text, which can then be used to enrich established knowledge graphs like Open Targets and annotate scientific databases like Dimensions. 🗓️🕐 13th November 2024, 4pm GMT | 11am ET 🔗 Secure your spot: https://ow.ly/jKkp50TQRES Digital Science #Pharma #ResearchInnovation #Biotech #KnowledgeGraphs

If you are pushing the #innovation envelope in #biotech or #ai, join us next week at the #FierceBiotechSummit in Boston! I will be chairing the Early-Stage Development track and moderating the panel titled, “Decoding AI in Drug Development: Going Beyond the Hype”, with Mark Brenckle, Michelle Chen, Gavin, and Jeffrey Reid - colleagues who span the gamut from discovery to delivery. Our aim is to cut through the noise and zero-in on the productive and responsible use of AI in drug development. More importantly, the conversation will address how to avoid FOMO-driven decisions and half-baked solutions that could derail the potential of AI/ML in biotech. Join us in driving discussions that shape the future of innovation in drug development. CerFlux | Insilico Medicine | Regeneron | Alkermes | Formation Bio | Fierce Biotech

Bringing a new pharmaceutical to market can cost over $1 billion and take up to twenty years to develop. (@JamaNetwork) CytoReason Co-founder and VP of Biology Elina Starosvetsky, a Technion - Israel Institute of Technology alumna, and Technion Professor Shai Shen-Orr, another company co-founder, are helping pharmaceutical and biotech companies save time and money – literally. The startup is using AI and biological data on the human body to create models of diseases that accelerate the discovery of drugs that could be effective in treating patients. Read more about how these Technion researchers are changing medicine. https://lnkd.in/g3EB6S_F #TechnionImpact #Technion

🔬 Exciting News in the World of Artificial Intelligence and Drug Development 🚀 AlphaFold, the groundbreaking software developed by GoogleAI, has been enhanced to propel the study of proteins 🧬 to new heights and accelerate drug development 💊. This upgrade marks a significant milestone in the intersection of technology and healthcare. 🌟 The upgraded AlphaFold software promises to revolutionize how we understand and manipulate proteins, unlocking vast potential in drug discovery and development. 👨🔬 Led by Demis Hassabis, Google’s AI chief, this advancement showcases the power of artificial intelligence in transforming complex scientific processes. 🧪 With enhanced capabilities, researchers and pharmaceutical companies can potentially expedite the discovery of novel drugs for various diseases, providing hope for improved treatments. 🔍 By offering a deeper understanding of protein structures, AlphaFold's upgrade opens doors to more precise drug targeting and design, potentially leading to more effective therapies. In conclusion, the evolution of AlphaFold stands as a testament to the incredible strides being made in AI-powered solutions for scientific innovation 🌐. This advancement not only holds promise for the future of drug development but also underscores the potential of AI to drive impactful change in various fields. Stay tuned for more groundbreaking developments! #ArtificialIntelligence #DrugDevelopment #AlphaFold #Innovation ⚛️🔝

General Inception Acquires Enable Medicine to Drive AI-Led Drug Discovery Breakthroughs General Inception, a global #biotech company igniter, has acquired Enable #Medicine, a leader in #ArtificialIntelligence-driven biological research, in a strategic equity partnership aimed at revolutionizing #drugdiscovery. This collaboration combines Enable’s generative #AI models, which explore vast cellular atlases for new #therapeutic insights, with General Inception’s drug development expertise.  https://lnkd.in/dF8rzW7p

Learn how knowledge graphs & LLMs can help you search and discover hidden causal relations 🔬🧬 Advancing drug discovery or biomarker identification in pharma R&D is challenging when critical insights are spread across internal, public, and commercial databases. ⚡️Join our upcoming webinar with Digital Science, where we’ll explore how AI & knowledge graphs are transforming pharma research. One use case we’ll focus on is scientific validation, showing how LLMs can precisely identify causal relationships from unstructured full text, which can then be used to enrich established knowledge graphs like Open Targets and annotate scientific databases like Dimensions. 🗓️🕐 13th November 2024, 4pm GMT | 11am ET  🔗 Secure your spot: https://lnkd.in/gxk4Qbws #Pharma #ResearchInnovation #Biotech #KnowledgeGraphs

The future of healthcare is here, and it's personalized. Pharmacogenomics is revolutionizing the biotech industry, offering tailored treatments based on an individual's unique genetic profile. Key insights from our latest research: • The pharmacogenomics market is projected to reach $40.6 billion by 2033 • AI and big data analytics are accelerating progress • Recent conferences highlight growing optimism in the sector • The industry is overcoming challenges in regulation, integration, and cost As professionals in the biotech and healthcare sectors, it's crucial to understand the impact of pharmacogenomics on patient care and drug development. Are you prepared for this shift towards personalized medicine? Read our in-depth analysis and explore the opportunities in this rapidly evolving field: https://lnkd.in/gxhFY7yc #Pharmacogenomics #Biotech #PersonalizedMedicine #HealthcareInnovation