Articles for tag: agentic AI, artificial intelligence, collaborative robotics, Ethical Considerations, healthcare innovation, multi-agent systems, technology advancements

Market News

Navigating the Autonomy and Control Dilemma in Technology: Balancing Independence and Regulation for Better Innovation

Agentic AI is set to revolutionize the artificial intelligence landscape in 2025 by enabling multiple AI agents to collaborate on solving complex problems across various sectors, including finance, logistics, healthcare, and defense. Successful examples include Amazon’s use of robotic swarms in warehouses and advanced drone systems for surveillance. However, challenges like conflicting decisions between agents ...

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Revolutionizing Healthcare: Meet Tom, the AI-Enabled Primary Care Service Designed for Scalability and Patient-Centric Solutions

Lumeris recently launched Tom, a groundbreaking AI-enabled platform designed to revolutionize primary care. This innovative service aims to improve access for the 100 million Americans currently lacking primary care. Tom utilizes a vast network of clinical and non-clinical data to streamline tasks like patient scheduling and care coordination, allowing healthcare providers to focus on what ...

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The Future of AI Agents in Community Pharmacies: Insights from Dr. Ehoneah Obed on Transforming Healthcare in 2025

In the rapidly advancing world of AI, its potential impact on community pharmacies is significant yet often overlooked. While many companies focus on automating tasks in tech and productivity, pharmacies, especially in underserved areas, can greatly benefit from AI. Imagine AI tools that help pharmacists by checking prescriptions for errors before they even see them, ...

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Revolutionizing Asset and Clinical Programs: Harnessing AI and GenAI Innovations for Individual Study Success

Pharmaceutical and biotech companies are increasingly using generative artificial intelligence (GenAI) to enhance clinical trials and drug development. This technology streamlines decision-making by automating manual documentation processes and reducing administrative burdens for research teams. Machine learning experts are collaborating with trial sponsors to leverage GenAI, creating a powerful team of AI models that provide deeper ...

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Key Insights from Davos 2023: Climate Action, Economic Resilience, and Global Collaboration for a Sustainable Future

At the World Economic Forum meeting in Davos on January 23, 2025, attendees engaged with advanced VR technology to discuss the future of AI agents. These autonomous systems, now commonly used in industries like healthcare, education, and finance, have the ability to sense, learn, and interact with their environments. In December 2024, the Forum released ...

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Key Insights from Davos 2023: Climate Action, Economic Resilience, and Global Collaboration for a Sustainable Future

The World Economic Forum (WEF) held its annual meeting in Davos, Switzerland, on January 23, 2025, where attendees explored the growing role of AI agents. These autonomous systems, used in fields like healthcare, education, and finance, can learn and act based on their surroundings, improving efficiency. In December 2024, the WEF released a white paper ...

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Eleos Secures $60M Series C Funding to Revolutionize Behavioral Health with AI-Driven Solutions

Eleos, a leader in AI for behavioral health, has raised $60 million in a Series C funding round led by Greenfield Partners, bringing its total funding to over $120 million. This investment aims to enhance Eleos’ product offerings and expand into new areas within behavioral health, especially supporting substance use disorder treatment. The company recently ...

Market News

Revolutionizing Healthcare: Innovations Shaping the Future of Medicine and Patient Care

This article explores the transformative role of AI agents in healthcare, highlighting how these advanced systems are reshaping patient care and medical operations. Unlike traditional AI, AI agents actively interact with their environment to achieve specific goals, improving decision-making in clinical settings. The discussion includes insights from a recent Google whitepaper, emphasizing the agents’ cognitive ...

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AI Superior to Traditional Methods in Predicting Ovarian Cancer Surgery Success Rates and Improving Patient Outcomes

A recent study published in BMC Surgery reveals that artificial intelligence (AI) models, such as artificial neural networks and machine learning systems, are more effective than traditional statistical methods at predicting outcomes after complete cytoreduction surgery for ovarian cancer. The study highlights the importance of complete cytoreduction, which means no visible tumor remains, influenced by ...

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