The global genomics market is growing rapidly, reaching USD 34.2B by 2025 and USD 66.4B by 2035, with a 14.6% annual growth rate, driven by tech advances and research. Read more: https://wemarketresearch.com/reports/genomics-market/1056 #Genomics #Biotech #PrecisionMedicine #GeneticResearch #DNASequencing #HealthcareInnovation #Biotechnology #GenomicMedicine #PersonalizedMedicine #DrugDiscovery #MedicalResearch #GeneticTesting #LifeSciences #Biopharma #FutureOfMedicine

Deep Learning in Drug Discovery market Size, Share, Trends by 2035 Increased capital investments and higher attrition rates have prompted the implementation of deep learning technologies to expedite drug discovery process; early-stage diagnostic capability of such technologies has also emerged as a key driver for their adoption Roots Analysis is pleased to announce the publication of its recent study, titled, “Deep Learning in Drug Discovery and Deep Learning in Diagnostics Market (2nd Edition), 2023-2035” report features an extensive study of the current market landscape and the likely future potential of the deep learning solutions market within the healthcare domain. The report highlights the efforts of several stakeholders engaged in this rapidly emerging segment of the pharmaceutical industry. Amongst other elements, the report includes:  An executive summary of the insights captured during our research, offering a high-level view on the current state of deep learning market for drug discovery and diagnostics and its likely evolution in the mid-to-long term.  A general overview of big data revolution in the medical industry, along with information on artificial intelligence, machine learning and deep learning algorithms.  A detailed assessment of the market landscape of more than 70 companies offering deep learning technologies / services for the purpose of drug discovery, based on several relevant parameters.  A detailed assessment of the market landscape of more than 130 companies offering deep learning technologies / services for diagnostics, based on several relevant parameters.  Elaborate profiles of key players developing technologies and offering services related to deep learning, specifically for drug discovery and diagnostics.  A qualitative analysis, highlighting the five competitive forces prevalent in the deep learning domain.  An analysis of completed and ongoing clinical trials related to deep learning, based on several relevant parameters.  A detailed analysis of various investments made by players engaged in this domain, during the period 2019-2022, based on several relevant parameters.  An analysis of the start-ups / small players (established post 2015, with less than 50 employees) engaged in the deep learning market focused on drug discovery and diagnostics.  An elaborate valuation analysis of companies that are involved in the deep learning in drug discovery and diagnostics market, based on our proprietary, multi-variable dependent valuation model to estimate the current valuation / net worth of industry players.  A detailed market forecast, featuring analysis of the current and projected future opportunity across key market segments (listed below)  Therapeutic Area  Oncological Disorders  Infectious Diseases  Neurological Disorders  Immunological Disorders  Endocrine Disorders  Cardiovascular Disorders  Respiratory Disorders  Ophthalmic Disorders  Musculoskeletal Disorders  Other Disorders  Key Geographical Regions  North America  Europe  Asia Pacific  Rest of the World Transcripts of interviews held with the following senior level representatives of stakeholder companies  Mausumi Acharya (Chief Executive Officer, Advenio Technosys)  Vikas Karade (Founder, Chief Executive Officer, AlgoSurg)  Babak Rasolzadeh (Former Vice President of Product and Software Development, Arterys)  Carla Leibowitz (Head of Strategy and Marketing, Arterys)  Deekshith Marla (Founder, Chief Technology Officer, Arya.ai) and Sanjay Bhadra (Chief Business Officer, Arya.ai)  Walter de Back Former Research Scientist, Context Vision)  Kevin Choi (Chief Executive Officer, Mediwhale)  Avi Veidman (Chief Executive Officer, Nucleai), Yoav Blum (Director of AI, Nucleai) and Ken Bloom (Head of Pathology, Nucleai) Key companies / organizations covered in the report  Aegicare  Aiforia Technologies  Ardigen  Berg  Google  Huawei  Merative  Nference  Nvidia  Owkin  Phenomic AI  Pixel AI To view more details on this report, click on the link https://www.rootsanalysis.com/reports/view_document/deep-learning-in-drug-discovery-market/156.html You may also be interested in the following titles: Lipid Nanoparticles in Drug Delivery Non-Viral Transfection Reagents and Systems Market You may also like to learn what our experts are sharing in Roots educational series: Adeno-Associated Viral Vectors: Unlocking the Future Opportunities Modular Construction – Retrofitting Conventional Buildings About Roots Analysis Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights. Contact: Ben Johnson +1 (415) 800 3415 Ben.johnson@rootsanalysis.com #DeepLearninginDrugDiscoveryMarket #DeepLearninginDrugDiscoveryMarketSize #machinelearning #deeplearning #machinelearningalgorithms

Latest news on Investor Series: Opportunities in AI in Drug Discovery market Research Report by 2035 The new market report titled “Opportunities in the Artificial Intelligence in Drug Discovery Market”, published by Roots Analysis is one of the most sought-after solutions for investors operating in the Artificial Intelligence in Drug Discovery market. The report will help investors stay updated with the latest market trends and opportunities associated with the Artificial Intelligence in Drug Discovery market. The report comes with a concise summary of the details regarding the historical market data, current market trends, future growth prospects, innovator and product landscape, company health indexing, value proposition analysis, company competitiveness, funding and investment, financial analysis of public ventures, business risk analysis, returns on investment and key acquisition targets, as well as the emerging market trends and opportunities in Artificial Intelligence in Drug Discovery market. The opportunities in the Artificial Intelligence in Drug Discovery market are anticipated to expand significantly. However, the latest report is mainly intended for business leaders, experts, thought leaders, investors, start-ups and growth stage firms interested in Artificial Intelligence in Drug Discovery business space and is available in the form of PDF and spreadsheet. Investor Series: Opportunities in the Artificial Intelligence in Drug Discovery Market: Investor Series Scope and Market Size: The report provides detailed information on the Artificial Intelligence in Drug Discovery market, covering the core and peripheral Artificial Intelligence in Drug Discovery solutions. It offers a technical and financial perspective on how the Artificial Intelligence in Drug Discovery market opportunities is likely to evolve, in terms of future business success, over the coming decade. The Artificial Intelligence in Drug Discovery market is broadly segmented on the basis of type of solution, type of therapy, therapeutic area and geographical regions. Key Market Contenders: This particular section of the Artificial Intelligence in Drug Discovery market report covers all the necessary details of the Artificial Intelligence in Drug Discovery’ solutions developed by players operating in the Artificial Intelligence in Drug Discovery market. The report goes on to elucidate a quantitative perspective on the relative health of the different innovator companies and an assessment of the various solutions, offered by the companies developing DTx solutions, featuring analysis based on number and types of products, and an informed perspective on the value of the offerings based on multiple relevant aspects. Information on the funding and investment activity that has taken place in this domain since 2011 has also been included in this report. Moreover, the exhaustive report presents financing category-wise trends, describing the relative maturity of the innovator companies. Further, Artificial Intelligence in Drug Discovery market features a list of the leading Artificial Intelligence in Drug Discovery investors, based on their participation in financing activity in this industry segment. It also covers an elaborate review of the overall Artificial Intelligence in Drug Discovery market from a financial perspective, including detailed fundamental (insights from the balance sheet, and key financial ratios) and technical analyses (insights from historical and recent stock price variations, and analysis using popular stock performance indicators) of financial data of the publicly listed companies. To view more details on this report, click on the link: https://www.rootsanalysis.com/reports/ai-in-drug-discovery-investor-series.html You may also be interested in the following titles: 4D Bioprinting Market Non-Viral / Intracellular Drug Delivery Systems Market You may also like to learn what our experts are sharing in Roots educational series: Smart pharmaceutical and healthcare labels: Lets trace medicines from its origin Introduction To Exosome Therapeutics About Roots Analysis Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights. Contact: Ben Johnson +1 (415) 800 3415 Ben.johnson@rootsanalysis.com #OpportunitiesinArtificialIntelligenceinDrugDiscoverymarket #ArtificialIntelligenceinDrugDiscoveryInvestorSeries #ArtificialIntelligenceinDrugDiscoveryMarket #AIindrugdiscoveryinvestmentopportunity #Artificalintelligenceindrugdiscoveryinvestors