# Drug Discovery * **Definition:** The process of identifying and developing new candidate medications, which involves the discovery of new compounds, testing their efficacy and safety, and bringing them to market, often based on biological targets. * **Taxonomy:** Healthcare Topics / Drug Discovery ## News * Selected news on the topic of **Drug Discovery**, for healthcare technology leaders * 26.6K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 4/22/2025 | [**The Growing Influence of Digital Health in Pharma - LinkedIn**](https://www.linkedin.com/pulse/growing-influence-digital-health-pharma-milan-sojitra-wgdwe) | [[Linkedin]] | | 4/15/2025 | [**Elix and PRISM BioLab Join Forces to Accelerate AI-Driven Drug Discovery for Challenging ...**](https://www.morningstar.com/news/business-wire/20250411890001/elix-and-prism-biolab-join-forces-to-accelerate-ai-driven-drug-discovery-for-challenging-protein-protein-interaction-targets) | [[Morningstar]] | | 4/15/2025 | [**OpenFold AI Research Consortium Welcomes New Members Including Bristol Myers Squibb ...**](https://firstwordpharma.com/story/5949894) | [[FirstWord PHARMA]] | | 4/14/2025 | [**PRISM BioLab and Elix Join Forces to Accelerate AI-Driven Drug Discovery for Protein-Protein Interaction Targets**](https://www.prnewswire.com/news-releases/prism-biolab-and-elix-join-forces-to-accelerate-ai-driven-drug-discovery-for-protein-protein-interaction-targets-302426497.html) | [[PR Newswire]] | | 4/14/2025 | [**PRISM BioLab and Elix Join Forces to Accelerate AI-Driven Drug Discovery for Protein ...**](https://finance.yahoo.com/news/prism-biolab-elix-join-forces-070000167.html) | [[Yahoo Finance]] | | 4/14/2025 | [**Drug Discovery Market Size to Rise USD 160.31 Billion by 2034 - Statifacts - Yahoo Finance**](https://finance.yahoo.com/news/drug-discovery-market-size-rise-145000546.html) | [[Yahoo Finance]] | | 4/2/2025 | [**Mount Sinai Launches AI Small Molecule Drug Discovery Center**](https://markets.businessinsider.com/news/stocks/mount-sinai-launches-ai-small-molecule-drug-discovery-center-1034542068) | [[Business Insider Markets]] | | 4/2/2025 | [**Mount Sinai launches AI center to revolutionize small molecule drug discovery**](https://www.news-medical.net/news/20250402/Mount-Sinai-launches-AI-center-to-revolutionize-small-molecule-drug-discovery.aspx) | [[News Medical Net]] | | 3/19/2025 | [**ReSync Bio to Democratize AI-Powered Drug Discovery with NVIDIA BioNeMo**](https://finance.yahoo.com/news/resync-bio-democratize-ai-powered-120000285.html) | [[Yahoo Finance]] | | 3/11/2025 | [**Equipping Healthcare Professionals for the AI-Powered Healthcare Revolution: Lessons ... - Medium**](https://medium.com/@alexglee/equipping-healthcare-professionals-for-the-ai-powered-healthcare-revolution-lessons-from-harvard-e8f83dd3df8b) | [[Medium]] | | 3/3/2025 | [**IDEAYA Biosciences Announces Collaboration with ATTMOS to Accelerate AI/ML-Enabled ...**](https://www.prnewswire.com/news-releases/ideaya-biosciences-announces-collaboration-with-attmos-to-accelerate-aiml-enabled-drug-discovery-for-unprecedented-first-in-class-oncology-targets-302389173.html) | [[PR Newswire]] | | 3/2/2025 | [**Transformative Technologies Reshaping the Healthcare Industry - by Reza Lankarani**](https://medium.com/@RezaLankarani/transformative-technologies-reshaping-the-healthcare-industry-cc72b937b8ec) | [[Medium]] | | 2/18/2025 | [**NVIDIA's Rise Puts These 3 Healthcare Stocks in the Spotlight - Yahoo Finance**](https://finance.yahoo.com/news/nvidias-rise-puts-3-healthcare-173500423.html) | [[Yahoo Finance]] | | 2/11/2025 | [**AI-Powered Healthcare: Breakthroughs, Policies & Future Trends - Raouf Hajji, MD, PhD.**](https://www.linkedin.com/pulse/ai-powered-healthcare-breakthroughs-policies-future-hajji-md-phd--oaanf) | [[Linkedin]] | | 12/4/2024 | [**Cancer Immunotherapy Drug Discovery Outsourcing Strategic Business Report 2024-2030: Expansion of Targeted Therapy Development Fuels Demand, Rise in Demand for Preclinical Personalized Cancer Models - ResearchAndMarkets.com**](http://www.businesswire.com/news/home/20241204468345/en/Cancer-Immunotherapy-Drug-Discovery-Outsourcing-Strategic-Business-Report-2024-2030-Expansion-of-Targeted-Therapy-Development-Fuels-Demand-Rise-in-Demand-for-Preclinical-Personalized-Cancer-Models---ResearchAndMarkets.com/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 11/30/2024 | [**AI Drug Discovery Market Size is expanding at a CAGR of 5.1or period 2024 - LinkedIn**](https://www.linkedin.com/pulse/ai-drug-discovery-market-size-expanding-cagr-51-period-2024-ickxe) | [[Linkedin]] | | 11/25/2024 | [**Digi-Tech Pharma & AI Conference 2025: AI and Genomics Take Center Stage (London ...**](https://www.marketwatch.com/press-release/digi-tech-pharma-ai-conference-2025-ai-and-genomics-take-center-stage-london-united-kingdom-may-28-29-2025-researchandmarkets-com-2a20b074) | [[MarketWatch]] | | 11/19/2024 | [**Drug Discovery Market Is Expected To Reach RevenueOf USD 138.5 Bn By 2033, At 9.6AGR: Dimension Market Research.**](https://www.globenewswire.com/news-release/2024/11/19/2983896/0/en/Drug-Discovery-Market-Is-Expected-To-Reach-RevenueOf-USD-138-5-Bn-By-2033-At-9-6-CAGR-Dimension-Market-Research.html) | [[Globe Newswire]] | | 11/19/2024 | [**Drug Discovery Market Is Expected To Reach RevenueOf USD 138.5 Bn By 2033, At 9.6AGR**](https://finance.yahoo.com/news/drug-discovery-market-expected-reach-171300995.html) | [[Yahoo Finance]] | | 11/7/2024 | [**Drug Discovery Informatics Market Projected to Reach USD 8.12 Billion by 2032 - Yahoo Finance**](https://finance.yahoo.com/news/drug-discovery-informatics-market-projected-160600256.html) | [[Yahoo Finance]] | | 9/19/2024 | [**Quantum Radio Frequency Field Sensors - Premium Article - IDTechEx Portal**](https://www.idtechex.com/portal.v2/pages/premium-article.asp?articleid=31728) | idtechex.com | | 9/17/2024 | [**Drug Discovery Informatics Market Projected Growth Outlined by Global Driving Factors, Top ...**](https://www.whatech.com/og/markets-research/medical/882472-drug-discovery-informatics-market-projected-growth-outlined-by-global-driving-factors-top-manufacturers-growth-opportunities-and-forecast-to-2033.html) | whatech.com | | 8/19/2024 | [**Lab Automation In Drug Discovery Market Insights Discussed Regarding Trends, Growth ...**](https://www.whatech.com/og/markets-research/materials-chemicals/868361-lab-automation-in-drug-discovery-market-trends-growth-size-share-forecast-to-2033.html) | whatech.com | | 8/12/2024 | [**Big Data and Precision Medicine: Diagnosis and Treatment, Drug Discovery, and Integration of Multiple Omics**](https://www.frontiersin.org/research-topics/66610/big-data-and-precision-medicine-diagnosis-and-treatment-drug-discovery-and-integration-of-multiple-omics/articles) | frontiersin.org | | 6/28/2024 | [**AI In Drug Discovery Market Size to Expand US$ 11.93 Bn by 2033 - BioSpace**](https://www.biospace.com/article/releases/ai-in-drug-discovery-market-size-to-expand-us-11-93-bn-by-2033/) | biospace.com | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **Eurofins Discovery**: A company specializing in integrated drug discovery capabilities, collaborating with Dompè farmaceutici. - **Agilent Technologies**: Provides laboratory instruments and software for drug discovery. - **Exscientia**: An AI-driven drug discovery company that collaborates with major pharmaceutical firms to enhance drug development processes. - **Evotec SE**: A leading drug discovery and development services provider collaborating with Scientist.com to enhance drug discovery efficiency. - **Pfizer**: A leading pharmaceutical company leveraging advanced technologies for drug discovery. - **Generate**: Biomedicines: A biotech firm leveraging AI for drug discovery. - **Medgnosis**: A biotechnology company utilizing generative AI to accelerate drug discovery by generating novel compounds rapidly. - **Atomwise**: A leading AI vendor specializing in drug discovery, known for its innovative approaches to molecular design. - **IBM**: Involved in AI applications for drug discovery. - **Novartis**: A global healthcare company involved in drug discovery and development. - **Axcelead Drug Discovery Partners, Inc.**: A company collaborating with Eli Lilly to enhance drug discovery programs using advanced technologies. - **Abbott Diagnostics**: A key company in the diagnostics and drug discovery space. - **Iktos**: A company specializing in AI-driven drug discovery, integrating generative design and robotic synthesis. - **Vizuro LLC**: An AI technology innovator partnering with the Development Center for Biotechnology to enhance drug discovery processes. - **Roche Holdings**: A leading pharmaceutical company involved in drug discovery and development. - **Accenture**: A consulting firm investing in biotechnology to enhance drug discovery processes. - **Icahn School of Medicine at Mount Sinai**: Established the AI Small Molecule Drug Discovery Center to leverage AI in drug development. - **Thermo Fisher Scientific**: A major player in lab automation and drug discovery technologies. - **BenevolentAI**: A leader in AI-driven biopharma drug discovery, focusing on explainable AI in drug target identification. ### Partnerships and Collaborations - **Eurofins Discovery and Dompè farmaceutici**: Renewed collaboration to enhance identification of novel therapeutics using AI technology. - **OpenFold and industry partners**: Collaborating with companies like Bristol Myers Squibb and Novo Nordisk to develop open-source tools for drug discovery. - **Axcelead Drug Discovery Partners and Eli Lilly**: A strategic collaboration focusing on multiple drug discovery programs leveraging advanced technologies. - **Vizuro LLC and Development Center for Biotechnology**: MOU to advance innovation in drug discovery through AI computational platforms. - **BenevolentAI and major pharmaceutical companies**: Collaborations to leverage AI for novel drug discovery. - **Ubiquigent and Alleo Labs**: Partnership to combine expertise in DUB modulators and AI for neurological disease drug discovery. - **DNAnexus and Discovery Life Sciences**: Partnership to improve precision health data analysis. - **Sumitomo Dainippon Pharma and Exscientia**: This partnership led to the rapid development of DSP-1181 for treating obsessive-compulsive disorder, significantly reducing time and costs in drug development. - **AQEMIA and Sanofi**: A $140 million collaboration to advance drug discovery efforts in oncology. - **Iktos and Cube Biotech**: A strategic collaboration to leverage AI-driven drug discovery and protein technologies for developing small molecule agonists. - **Exscientia and Amazon Web Services (AWS)**: An expanded collaboration to enhance drug discovery platforms using advanced AI and machine learning services. - **Exscientia and AWS**: Expanding collaboration to enhance drug discovery through AI and robotic automation. - **ELRIG UK and The Protein Society**: Joint conference on protein sciences in drug discovery. - **VedTechBio and RenaissThera**: A research collaboration to develop novel small molecular drugs targeting metabolic diseases. - **Flagship Pioneering and Pfizer**: Collaborating to discover new treatments for autoimmune diseases using AI-driven methodologies. - **Converge Bio and Teva**: Partnership to integrate AI into drug discovery pipelines. - **Quantiphi and Transcell**: A strategic investment to enhance AI-supported drug discovery, focusing on human stem cell-based microphysiologies to improve safety profiling. - **Accenture and 1910 Genetics**: Collaboration to combine tailored solutions and scalable infrastructure for drug target identification. - **University of Oxford and Apollo Therapeutics**: A collaboration aimed at developing new therapeutics based on biomedical research breakthroughs, enhancing patient access to clinical trials. - **QSimulate and Japan Tobacco Inc.**: A strategic partnership to enhance AI-driven small molecule drug discovery technologies. ### Innovations, Trends, and Initiatives - **AI-Driven Drug Discovery Technologies**: Innovative methods being developed to improve drug discovery processes, including biophysical methods and advanced molecular design. - **Drug Discovery Informatics Market**: Projected to grow significantly, driven by advancements in precision medicine and AI integration. - **Generative AI in Drug Discovery**: Transforming the drug discovery process by enabling faster identification of therapeutic compounds through advanced algorithms. - **AI-Driven Drug Discovery Platforms**: Platforms like Medgnosis's generative AI system can generate over 400 novel compounds in seconds, significantly speeding up the drug discovery process. - **Generative AI**: Transforming drug discovery by simulating molecular structures and predicting drug interactions, reducing time and costs. - **AI-Driven Drug Discovery Efficiencies**: Predicted to increase revenue potential by up to 25% through improved research and development processes. - **Brain Drug Discovery Center**: Established to focus on innovative drug targets for neurodegenerative diseases. - **Quantum Computing**: Emerging as a revolutionary technology with potential applications in solving complex drug discovery problems. - **AI in Drug Discovery**: AI technologies are being integrated into drug discovery processes, enhancing efficiency and reducing costs. - **AI Small Molecule Drug Discovery Center**: Mount Sinai's initiative aims to combine AI with traditional methods to accelerate the identification of therapeutics. - **Generative AI Solutions**: Emerging platforms like Converge Bio and SoftServe's Drug Discovery solution enhancing drug candidate generation. - **AI and Machine Learning**: Increasing adoption in drug discovery to streamline processes and reduce timelines. - **High-Throughput Screening (HTS)**: Expected to grow significantly, driven by increased R&D funding, with advancements in automation and miniaturization enhancing drug discovery. ### Challenges and Concerns - **Inefficiency in Drug Discovery**: Despite advancements, drug discovery remains lengthy and inefficient with low success rates. - **Regulatory Challenges**: Navigating complex regulations while implementing innovative drug discovery technologies. - **High Initial Investment Costs**: The drug discovery process requires significant financial resources, which can be a barrier for many companies. - **Outsourcing in Drug Discovery**: Rising research and development costs and the complexity of drug discovery are driving pharmaceutical companies to outsource certain phases to CROs. - **Data Security and Privacy**: As drug discovery increasingly relies on digital technologies, ensuring data protection and patient confidentiality is critical. - **Need for Innovative Informatics Tools**: There is a growing demand for advanced tools to enhance the drug discovery process and manage complex datasets. - **Data Scarcity and Bias**: Challenges in existing datasets that could limit the effectiveness of AI in drug discovery. - **Data Privacy and Security**: As AI technologies are adopted, concerns regarding data privacy and security in drug discovery processes are increasingly significant. - **Data Scarcity**: Lack of diverse training data poses significant hurdles for AI-driven drug discovery. - **Data Privacy and Ethical Concerns**: Issues surrounding patient consent and the commercialization of patient data in drug discovery. - **Data Accessibility**: Challenges in accessing high-quality data hinder the full utilization of AI in drug discovery. - **Data and Compliance Issues**: Challenges related to data management and regulatory compliance in AI-driven drug discovery. - **Algorithmic Bias**: Concerns regarding the fairness and transparency of AI models used in drug discovery. - **Clinical Trial Failures**: 90% of drug candidates fail during trials due to efficacy and drug property issues. - **Risk Aversion in Target Selection**: Increased risk aversion among pharmaceutical companies due to high failure rates of new therapeutic targets. - **Clinical Trial Efficacy**: Mixed results in clinical trials highlight challenges in accurately predicting drug efficacy. - **High Capital Requirements**: The costs associated with implementing AI technologies in drug discovery can be prohibitive for some companies. ## Related Topics [[Drug Development]]