News from the AI & ML world
DeeperML - #healthcareai
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Hassan Shittu@Fello AI
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Fello AI
, lambdalabs.com
Nvidia is making significant strides in healthcare and AI infrastructure, particularly through the development of specialized large language models (LLMs). Their DNA LLM exemplifies this, aiming to revolutionize genomic research and drug discovery. This highlights AI's potential to transform medical science by enabling faster analysis and interpretation of biological data.
Lambda has been recognized as NVIDIA's 2025 Healthcare Partner of the Year for accelerating AI innovation in healthcare and biotech. John Snow Labs introduced the first commercially available Medical Reasoning LLM at NVIDIA GTC, optimized for clinical reasoning and capable of verbalizing its thought processes. Nvidia's involvement in this has helped lead the way for these healthcare specific Large Language Models. Recommended read:
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Ben Lorica@Gradient Flow
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References:
Gradient Flow
DeepSeek is making significant strides in the AI landscape, particularly within the healthcare sector in China. The AI solution is being rapidly adopted across China's tertiary hospitals to improve clinical decision-making and operational efficiency. Its rollout began in Shanghai, with hospitals like Fudan University Affiliated Huashan Hospital, and has expanded nationwide. DeepSeek is being used in areas such as intelligent pathology to automate tumor analysis, imaging analysis for lung nodule differentiation, clinical decision support for evidence retrieval, and workflow optimization to reduce patient wait times.
DeepSeek has also open-sourced several code repositories to give competitors a scare on the journey toward transparency and the advancement of the AI community. This move puts the firm ahead of the competition on model transparency and the open source nature allows hospitals to customize the programs. This level of openness is a further step than other AI competitors such as Meta’s Llama, which has only open-sourced the weights of its models. DeepSeek's deployment focuses on practical applications within hospital intranets, ensuring data security while improving accuracy and generalization through hierarchical knowledge distillation, reducing computational costs. Recommended read:
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kevinokemwa@outlook.com (Kevin@windowscentral.com
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Microsoft has unveiled Dragon Copilot, an AI tool aimed at easing the administrative burden for healthcare providers. Dragon Copilot listens to doctor-patient conversations and automatically drafts clinical notes, referral letters, and post-visit summaries. The AI assistant also sources important information from medical files, streamlining documentation and allowing clinicians to focus more on patient care. Microsoft emphasizes that data protection and security were key considerations in the development of Dragon Copilot.
Microsoft has also taken legal action against individuals who have misused its AI technology. The company modified a lawsuit to name four multinational developers, identifying them as members of the Storm-2139 cybercrime network. These developers allegedly bypassed safety guardrails and abused Microsoft's AI tools to generate deepfaked celebrity porn and other harmful content. Microsoft hopes that this legal action will deter others from weaponizing its AI technology. Recommended read:
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@Salesforce
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Salesforce is deploying AI agents in healthcare through Agentforce, designed to accelerate treatment times and improve patient outcomes. These AI agents, with names like Grace, Max, and Tom, are being developed by venture-backed companies to automate tasks such as enrolling participants in clinical trials, ensuring proper post-hospitalization care, and helping doctors quickly understand patient medical histories. Agentforce now includes prebuilt skills to streamline tasks like benefits verification, disease surveillance, and clinical trial recruitment.
These AI agents also aim to alleviate physician burnout by completing administrative tasks and improving care delivery as caseloads increase. The Salesforce-Google partnership is enhancing Agentforce capabilities. Agentforce agents will be able to use Google's Gemini models, allowing agents to work with images, audio, and video, handle more complex tasks using Gemini's multi-modal capabilities and two-million-token context windows, and act using real-time insights and answers grounded in Google Search with Vertex AI. Salesforce Service Cloud will become more tightly integrated with Google Customer Engagement Suite, bringing enhanced AI-enabled contact center capabilities, including real-time voice translation, intelligent agent-to-agent handoffs, personalized agent recommendations, and AI-driven conversational insights across all channels. Recommended read:
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@ai-techpark.com
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Innovaccer, a prominent healthcare AI company, has announced its acquisition of Humbi AI, a firm specializing in actuarial software, services, and analytics. This strategic move is aimed at bolstering Innovaccer's capabilities in healthcare by integrating Humbi AI’s actuarial intelligence into its Healthcare Intelligence Cloud. This acquisition marks Innovaccer’s third, following Cured and Pharmacy Quality Solutions in 2024, and further solidifies their commitment to advancing healthcare transformation. The integration will combine Humbi AI’s deep actuarial expertise, which includes access to data spanning over 200 million lives across Medicare and Medicaid, with Innovaccer's existing cloud infrastructure.
This acquisition is set to benefit providers, payers, and life sciences organizations by enabling them to manage risk, improve performance, and succeed in value-based care. Specifically, Innovaccer plans to launch Actuarial Copilots, AI-powered tools designed to assist actuaries, and enable more intelligent value-based contracting and improve financial performance. According to Innovaccer CEO Abhinav Shashank, this acquisition is a pivotal step in their mission to transform healthcare, allowing them to help healthcare organizations design smarter contracts, optimize drug commercialization, and manage performance more effectively. Humbi AI’s solutions are intended to address critical challenges across the entire healthcare ecosystem. Recommended read:
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@ai-techpark.com
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NVIDIA is making significant strides in the healthcare and drug discovery sectors through strategic partnerships with key industry players. Collaborations with Illumina, Mayo Clinic, IQVIA, and Arc Institute aim to accelerate the application of artificial intelligence (AI) in various healthcare domains, from genomic research to clinical development. The partnership with Illumina leverages their sequencing technology alongside NVIDIA's AI tools to develop biological foundation models, focusing on multiomic data analysis and accelerating the identification of new drug targets. These efforts are expected to enhance the speed of drug discovery and clinical research by providing powerful AI-driven resources for pharmaceutical companies.
The collaborations extend beyond genomics, with NVIDIA also partnering with the Mayo Clinic to develop next-generation pathology models powered by NVIDIA's DGX Blackwell systems and MONAI. This is intended to pave the way for personalized diagnostics and treatments, while IQVIA is using NVIDIA's AI Foundry services to build custom models that can speed up research and development. Additionally, the Arc Institute will leverage NVIDIA AI models and tools for biomedical discovery, with a focus on advancing drug discovery, synthetic biology, and disease research. These partnerships underscore the growing impact of AI in revolutionizing healthcare and improving patient outcomes. Recommended read:
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