
Industry Overview - Artificial Intelligence (AI) and Machine Learning (ML) are crucial in precision oncology, enhancing decision-making through the analysis of large datasets and digital pathology [1] - The global AI in oncology market is valued at $1.92 billion in 2023, with a projected CAGR of 29.4%, reaching $11.52 billion by 2030, indicating rising investor interest [3] AI Initiatives and Developments - The National Institutes of Health (NIH) is evaluating the PRIMED-AI initiative to enhance disease diagnosis and treatment through coordinated AI/ML efforts [2] - AI models developed by NIH aim to predict cancer patients' responses to therapies, showcasing the growing integration of AI in healthcare [2] Key Players in AI-Driven Precision Oncology - NVIDIA is a significant player, providing powerful GPUs essential for AI models in imaging and drug development [5] - Palantir's Foundry platform enables comprehensive data analysis across laboratories, enhancing research capabilities [5] - Google's DeepMind, IBM Watson Health, and Microsoft's AI initiatives are also shaping the competitive landscape in healthcare [6] Investment Opportunities - BioXcel Therapeutics utilizes its proprietary AI platform, NovareAI, to expedite drug development, with a long-term expected earnings growth rate of 37.9% and projected revenue growth of 71.2% by 2025 [8][9] - Tempus AI enhances precision medicine through its algorithmic test platform, with a long-term expected earnings growth rate of 42% and projected revenue growth of 78.4% by 2025 [10][12] - Quest Diagnostics is integrating AI to improve operational efficiency and has acquired PathAI Diagnostics to advance digital pathology innovations, with a long-term expected earnings growth rate of 8.2% [13][14]