bioSeedin’s Post

Welcome to Topic #15 in our CADD series, where we spotlight the 5 Groundbreaking CADD Technologies Transforming Drug Discovery in 2024. In this edition, we’ll explore how these innovative tools are revolutionizing the drug development process, making it faster, more accurate, and more accessible. These five technologies are not just shaping the future—they are already transforming drug discovery today. If you work in the #CADD, #biotech, or #pharma space, these are the innovations to watch as they revolutionize the drug discovery process and push the boundaries of what's possible in molecular design! #CADD #DrugDiscovery #AI #MachineLearning #Biotechnology #QuantumComputing #Innovation

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

InVirtuoLabs aims to accelerate the entire drug discovery process and mitigate the failure risks in the costly preclinical and clinical phases of the process where pharma companies spend innumerable resources. How? A 2024 report published by Boston Consulting Group (BCG) titled "Unlocking the potential of AI in Drug Discovery" quantifies time and cost to preclinical candidate (PCC) when AI and computational chemistry are employed. Time to PCC is reduced by 30 to 50% in different scenarios while cost to PCC is reduced by 25 to 50%. In layman's terms, this is a potentially eye-popping saving in a multi-trillion drug discovery process. We are proud to be a leading player in this brave new world! #biotech #medtech #pharmatech #AI #airtificialintelligence #nextgenerationlab Gianvito Grasso Stefano Muscat Francesco Gentile Demet Olesen Claudio Pietra Giacomo Di Benedetto Diego Piovan Maria Veronika Stattin Alessandro Grande Gabriele Maroni Jack Tuszynski Sertac Yeltekin

#AI_in_Pharma_and_Biotech Market In-depth Analysis Report by Size, Share, Regional Analysis and Global Forecast to 2032. >> https://lnkd.in/dBUiqhAz AI in #pharma and biotech uses artificial #intelligence to enhance various aspects of #drug discovery, development, and #manufacturing. AI algorithms analyze vast #datasets to identify potential drug #candidates, predict #clinical trial outcomes, and optimize #production processes. This #technology accelerates research #timelines, reduces costs, and increases the accuracy of #predictive models. BenevolentAI Insilico Medicine Recursion Atomwise Cloud Pharmaceuticals, Inc. Deep Genomics Exscientia Schrödinger #healthcareindustry #pharmaceuticalindustry #healthcareresearch #biotechnology #artificialintelligence #manufacturing #clinicaltrial #biotech 

AI can be used in all aspects of drug development – from discovering biological targets, through developing chemical compounds, to conducting clinical trials. As we expected, this year at JP Morgan's Healthcare Conference, the AI theme was pervasive in almost every presentation, with key players presenting impressive new capabilities relevant to every stage of the value chain. Where does CytoReason fit into this growing trend? We use AI to model disease biology and drug effects. Our Computational Disease Models enable data integration across-the-board for decision making. The main goal is to help pharma enterprises improve probability of phase 2 success. Link to articles in comment below👇 #pharma #computationalbiology #biotech #drugdevelopment #jpm2024

Revolutionizing Drug Discovery: Pharmaeconomica’s Innovative AI-Driven Approach Artificial Intelligence (AI) has revolutionized drug discovery, offering new ways to enhance the efficiency and effectiveness of drug discovery. Read how Pharmaeconomica, a Belgium-based drug discovery consultancy, uses advanced computational chemistry and AI to expedite the drug discovery process. https://lnkd.in/eGJQ-Tsq

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

Did you know AI is revolutionizing drug discovery? 🧬 𝐍𝐕𝐈𝐃𝐈𝐀, the tech giant, is using AI to transform pharmaceutical research! 🔬 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭'𝐬 𝐞𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞𝐢𝐫 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡: 🔹 New generative virtual screening NIM Blueprint 🔹 Powerful AI microservices: 𝐀𝐥𝐩𝐡𝐚𝐅𝐨𝐥𝐝2, 𝐃𝐢𝐟𝐟𝐝𝐨𝐜𝐤, 𝐚𝐧𝐝 𝐌𝐨𝐥𝐌𝐈𝐌 🔹 Predicts protein structures and molecular interactions 🔹 Optimizes molecule properties for better drug candidates 𝐖𝐡𝐲 𝐈𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬: 🔸 Accelerates identification of potential drug candidates 🔸 Reduces time and cost of traditional screening methods 🔸 Enhances efficiency of the entire drug discovery pipeline Follow us for more updates on AI. #aidrugdiscovery #biotech #nvidia #aiinnovation #technews

As we step into 2024, the biotechnology industry stands at a pivotal point, driven by rapid advancements in technology and shifting market dynamics. The past few years have been transformative, with groundbreaking innovations reshaping the landscape of healthcare, drug development, and beyond. Labiotech.eu reached out to industry experts to get their thoughts on the trends that will shape the biotech field in 2024. From artificial intelligence (AI) to RNA technologies, find out some of the biotech trends to keep an eye out for in 2024 via https://lnkd.in/ew4HjkyG

https://lnkd.in/gJKGrM-S The study challenges the conventional wisdom surrounding target-based drug discovery by revealing its apparent inefficiency through a comprehensive evaluation of historical data. Despite its dominance in the field, the study finds that only a small fraction of approved drugs have been discovered through target-based assays. Furthermore, it highlights the limitations of attributing therapeutic effects solely to their intended targets, emphasizing the importance of considering off-target mechanisms. The findings suggest a need for a shift towards evidence-based approaches that prioritize higher-level phenotypic observations, leveraging advanced technologies like artificial intelligence and machine learning to enhance efficiency in drug discovery.