Deepfake AI uses artificial intelligence to create realistic but fake images, videos, or audio by manipulating facial expressions and voices. It has applications in entertainment, education, and cybersecurity but raises ethical concerns. Read more: https://www.linkedin.com/pulse/deepfake-ai-market-surge-416-cagr-reaching-898-billion-vinod-kadam-yflrc #DeepfakeAI #AI #DeepfakeTechnology #ArtificialIntelligence #SyntheticMedia #MachineLearning #AIInnovation #CyberSecurity #FakeVideos #TechEthics

Generative AI is artificial intelligence that creates content, including text, images, music, and code. It uses models like GPT and GANs to generate human-like outputs based on patterns learned from vast datasets. Read more: https://wemarketresearch.com/reports/generative-ai-market/1199 #GenerativeAI #AI #MachineLearning #DeepLearning #ArtificialIntelligence #AIGeneration #AIFuture #TechInnovation #NeuralNetworks #AITools #Automation #AIArt #AICreativity #FutureOfAI #GenAI

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

Artificial Intelligence in Oncology market Analysis and Trends by 2022-2035 The new market research report titled ‘Artificial Intelligence in Oncology Market’, published by Roots Analysis offers a comprehensive study of the Artificial Intelligence in Oncology industry, while estimating the overall market size and the size and share of the key regional segments of the global market over historical period, as well as the projected timeline of 2023-2035. The anticipated market growth is accredited to the significant surge in demand across the regional and global markets for the products and services offered by the Artificial Intelligence in Oncology industry. The latest study provides readers with a granular analysis of the major developmental elements of the global market, potential business avenues, and the overall market dynamics. The report has been specially curated to offer a deep understanding of the competitive terrain of the global market, highlighting the leading market rivals, their market positions, product portfolios, gross revenue shares, profit margins, pricing analysis, sales network & distribution channels, and financial standing. Type of Cancer • Solid Malignancies • Breast Cancer • Lung Cancer • Prostate Cancer • Colorectal Cancer • Brain Tumor • Others Type of End-Users • Hospitals • Pharmaceutical Companies • Research Institutes • Others Key Geographical Regions • North America • Europe • Asia-Pacific • Rest of the World The latest research report specializes in the in-depth analysis of the macroeconomic and microeconomic factors affecting Artificial Intelligence in Oncology market development. The report also concentrates on the regulatory framework that is shaping the future of the global market. New and existing pricing structures, emerging application areas, and upcoming investment opportunities have also been detailed in the report. The report further studies the projected growth factors that are expected to influence the market dynamics over the forecast timeframe. The study is inclusive of a comprehensive analysis of the commonly used marketing and promotional strategies adopted by the key market players. Taking into account the existing market development factors, historical events, and recent market trends, the study presents a balanced opinion on the future scenario of the AI in Oncology market. It thus supports its opinion by discussing the key corporate strategies, such as mergers & acquisitions, takeovers, joint ventures, and strategic alliances, used by the market players to strengthen their global footprint. Research Methodology Our analysts have performed an accurate examination of the various aspects of the global market leveraging avant-garde primary and secondary sources of data collection. The report has gathered the necessary data and information from several reliable sources. Additionally, the report offers many strategic recommendations for companies involved in this ever-growing business sector to help them attain a competitive edge in the Artificial Intelligence in Oncology market. Thank you for reading our report. Kindly get in touch with us to know more about the report or to receive a customized copy of it. Our team will ensure the report is tailored according to your needs. To view more details on this report, click on the link: https://www.rootsanalysis.com/reports/ai-in-oncology-market.html You may also be interested in the following titles: Cell Therapy Manufacturing Market Global TCR Therapy Market You may also like to learn what our experts are sharing in Roots educational series: Is Blue Ocean Strategy The Silver Bullet For Emerging Teleradiology Players to Achieve A Breakthrough In This Highly Competitive Market? CAR-T Cell Therapies: Addressing Key Unmet Needs Across Various Oncological Indications 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 #ArtificialIntelligenceinOncologyMarket #ArtificialIntelligenceinOncologyMarketGrowth #aiinoncology #oncologicaldisorders #artificalintelligenceincancer