Holisticon Poland’s Post

🚀 Transformative Innovations in Medicine for 2024 🌟 As we step into the future, groundbreaking medical technologies are reshaping patient care! 🌐 Here are 5 game-changing innovations identified by Clarivate that are set to make a significant impact: 1️⃣ AI-Enhanced Diagnostics: Faster, more accurate medical diagnoses using artificial intelligence. 2️⃣ Advanced Gene Editing: Unlocking potential cures for genetic disorders with precision. 3️⃣ Wearable Tech Evolution: Devices that not only monitor health but actively intervene. 4️⃣ Next-Gen Biologics: Targeted treatments with improved efficiency and fewer side effects. 5️⃣ Patient-Centered Tech: Tools designed to enhance treatment accessibility and personalization. These technologies aren't just about innovation—they are about transforming lives. Whether tackling chronic diseases or improving global health accessibility, the future of medicine looks incredibly promising! #MedicalInnovation #HealthcareTechnology #AIinHealthcare #GeneEditing #WearableTech #FutureOfMedicine #PatientCare #Biologics #HealthTech #MedicalBreakthroughs 👉 Learn more about these innovations here: https://lnkd.in/dFS6h3aF

Day 1 at #BioEurope has been truly inspiring! I’m thrilled by the pharmaceutical industry’s enthusiasm four Anima Biotech’ Visual Biology approach to drug discovery. Our #Lightning.AI #TechBio platform leverages large-scale visual biology data to train neural networks that recognize disease signatures, unlocking novel targets and better drugs! If you’re attending tomorrow, contact me to discuss how #Lightning.AI can transform your drug discovery pipeline with unique modulators of mRNA biology. #DrugDiscovery #TechBio #AI #mRNABiology echBio #AI #mRNABiology

⚡Power of AI in Biotechnology: A real life example ⚡ Flagship Pioneering is revolutionizing healthcare by leveraging Artificial Intelligence to advance biotech innovation. AI's role is pivotal in analyzing complex biological data, accelerating drug discovery, and optimizing bioplatforms. This approach enables rapid screening of drug candidates, predictive modeling for clinical trials, and the development of personalized medicine. A standout example is Flagship Pioneering's success with Moderna’s COVID-19 vaccine, which was developed within 48 hours of receiving the virus's genetic sequence using AI-driven mRNA technology, achieving emergency use approval in less than a year. This not only saved millions but also highlighted AI’s transformative impact on biotech. In what other ways can my network see AI further transforming the future of drug discovery and personalized medicine? #Biotech #AI #Innovation #Healthcare #DrugDiscovery #Moderna #FlagshipPioneering

In the past, we would spend years in the lab working on a single proteomic or genomic sequencing study to uncover one key insight. Now, with the power of artificial intelligence, we can apply AI to the world’s biomedical knowledge—all the research, studies, and discoveries ever made.  By training AI on known drug-disease connections, we can unleash it to find patterns across this vast knowledge graph. Incredibly, what used to take years to analyze one drug for one disease can now be predicted across millions of possibilities in just a few days. At Every Cure, we're harnessing this transformative technology to unlock treatments that are sitting right on the pharmacy shelves, ensuring that existing drugs reach the patients who need them most. Our mission is to accelerate the discovery of these life-saving connections and deliver hope to millions of patients waiting for cures. #drugdevelopment #raredisease #drugdiscovery #pharma

Purpose-built AI for drug discovery has exploded in the last 12-18 months. 2023 alone saw 70+ notable LLMs across scientific, protein, genomic, and molecular domains. EvolutionaryScale's ESM3 model, announced earlier this week, is yet another groundbreaking technology that will transform the pace of discovery. In an industry where nothing changes overnight, change is now coming faster than we expect. AI is fundamentally altering the way drugs are designed. But if we fail to reimagine our R&D system to handle the new speed and scale of AI-driven discovery, the industry risks over-promising and under-delivering to the patients who need new medicines the most. We need to apply AI not just in discovery but across the entire R&D lifecycle. Sajith and I wrote about this in STAT: https://lnkd.in/g8g59eHX

🔬 Revolutionizing Microbiology with AI: A New Era in Diagnostics and Research AI is revolutionizing how we approach bacterial identification and treatment: Bacterial Detection: AI algorithms are now identifying and classifying bacteria with incredible accuracy, speeding up diagnostics and improving patient outcomes. Predictive Modeling: By analyzing microbial signatures, AI is enabling early disease diagnosis and guiding personalized treatment plans tailored to individual patients. Drug Discovery: AI accelerates the development of new antibiotics by evaluating thousands of compounds quickly, optimizing drug formulations, and predicting resistance, ensuring more effective therapies. The future of microbiology is here, and it's powered by AI! #AI #Microbiology #BacterialDetection #PredictiveModeling #DrugDiscovery #HealthcareInnovation

The New York Academy of Sciences is presenting The Science and Business of AI-Driven Drug Discovery. June 25 -- Join experts in the fields of artificial intelligence and pharmaceuticals to explore the transformative role of AI in drug discovery. The panelists will share their insights on how machine learning algorithms are revolutionizing the drug development process by accelerating target identification, predicting compound interactions, and optimizing clinical trial designs. For more info ⬇ https://lnkd.in/dARuPFru #AI #MedicalAI #AIDrugDiscovery

By delivering greater insight into protein sequence, structure, and function, #AI and #MachineLearning make it possible to program novel medicines that can treat a variety of diseases. Join this webinar with Drug Discovery News where Dr. Alex Snyder of Generate:Biomedicines will discuss: - How generative AI is being leveraged to fill critical gaps in medical treatments by identifying and developing new drug targets; and - The synergistic integration of computational (dry-lab) and experimental (wet-lab) approaches to accelerate the drug development pipeline, leading to more personalized and efficacious medical solutions.

By delivering greater insight into protein sequence, structure, and function, #AI and #MachineLearning make it possible to program novel medicines that can treat a variety of diseases. Join this webinar with Drug Discovery News where Dr. Alex Snyder of Generate:Biomedicines will discuss: - How generative AI is being leveraged to fill critical gaps in medical treatments by identifying and developing new drug targets; and - The synergistic integration of computational (dry-lab) and experimental (wet-lab) approaches to accelerate the drug development pipeline, leading to more personalized and efficacious medical solutions.

By delivering greater insight into protein sequence, structure, and function, #AI and #MachineLearning make it possible to program novel medicines that can treat a variety of diseases. Join this webinar with Drug Discovery News where Dr. Alex Snyder of Generate:Biomedicines will discuss: - How generative AI is being leveraged to fill critical gaps in medical treatments by identifying and developing new drug targets; and - The synergistic integration of computational (dry-lab) and experimental (wet-lab) approaches to accelerate the drug development pipeline, leading to more personalized and efficacious medical solutions.