ConcertAI integrates ASCO guidelines into its generative and agentic Artificial Intelligence suite and CancerLinQ SmartLinQ

ConcertAI will automatically surface ASCO guideline-concordant care recommendations across CancerLinQ SmartLinQ and its Precision Suite, powered by the CARAai platform, starting mid to late June.

ConcertAI announced it has integrated American Society of Clinical Oncology guidelines into its CARAai platform for both the Precision Suite and CancerLinQ SmartLinQ solutions. The rollout will automatically provide guideline-concordant care recommendations to oncologists within the CancerLinQ network and enable biopharma researchers to evaluate concordance and outcomes using the Precision Suite’s low-latency, high-recency data. Within SmartLinQ, the newly licensed content will sit alongside existing features that help clinicians consider a full range of treatment options for optimized patient outcomes.

The move follows ASCO’s and ConcertAI’s December 2023 announcement regarding the acquisition of CancerLinQ and the continuation of network operations under ConcertAI. Over the past year and a half, ConcertAI has advanced SmartLinQ for QOPI applications and added proactive alerts for potentially beneficial diagnostics and newly approved therapeutics. SmartLinQ operates directly within Epic and other electronic medical record workflows. The company said ASCO guidelines will augment SmartLinQ by June 15, ensuring network practices have access to the informational resource in their day-to-day care decisions.

On May 30, ConcertAI unveiled its oncology-focused Precision Suite of generative and agentic Artificial Intelligence solutions for analytics, inference, and clinical trial design and optimization. ASCO guidelines will be available in these research products by June 30, enabling assessments of guideline-concordant care across varied settings and informing design of clinical trial controls according to published recommendations. The CancerLinQ SmartLinQ deployment will be demonstrated at the 2025 ASCO Annual Meeting in Chicago, highlighting how the automated guidance integrates into real-world clinical workflows.

“Through CancerLinQ, ConcertAI has an almost decade-long history of collaborating with ASCO,” said Jeff Elton, Ph.D., vice chairman of ConcertAI. He described the guideline license as an opportunity to apply the latest generative and agentic Artificial Intelligence technologies to improve cancer care, evidence generation, and clinical insights. In its company overview, ConcertAI positions itself as a provider of predictive and generative Artificial Intelligence SaaS and real-world data solutions, leveraging CARAai technologies and partnerships with healthcare providers and biomedical innovators. The new guideline automation underscores that strategy by tying authoritative clinical recommendations directly to both point-of-care decision support and research workflows.

55

Impact Score

Nvidia to sell fully integrated Artificial Intelligence servers

A report picked up on Tom’s Hardware and discussed on Hacker News says Nvidia is preparing to sell fully built rack and tray assemblies that include Vera CPUs, Rubin GPUs and integrated cooling, moving beyond supplying only GPUs and components for Artificial Intelligence workloads.

Navigating new age verification laws for game developers

Governments in the UK, European Union, the United States of America and elsewhere are imposing stricter age verification rules that affect game content, social features and personalization systems. Developers must adopt proportionate age-assurance measures such as ID checks, credit card verification or Artificial Intelligence age estimation to avoid fines, bans and reputational harm.

Large language models require a new form of oversight: capability-based monitoring

The paper proposes capability-based monitoring for large language models in healthcare, organizing oversight around shared capabilities such as summarization, reasoning, translation, and safety guardrails. The authors argue this approach is more scalable than task-based monitoring inherited from traditional machine learning and can reveal systemic weaknesses and emergent behaviors across tasks.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.