MedCloud Minute
The MedCloud Minute blog is researched, fact-checked, edited and updated by the editors of MedCloudInsider.com, with writing assistance from AI. To submit your company's press release for consideration, contact [email protected].
Perplexity and b.well Connected Health, a data-rich digital health platform, announced a partnership to integrate verified health data into AI-powered search, with the goal of improving the accuracy and personalization of health-related responses. The integration will allow Perplexity’s AI search platform to draw on b.well’s curated health data, which includes clinical records, care information and wellness data. The approach is intended to provide users with more relevant and personalized health insights while maintaining data accuracy.
This integration allows Perplexity users to securely connect medical records, ask questions to receive grounded results based on their own health history, understand lab results, medications and conditions and prepare for appointments while making informed decisions. The experience is focused on patient privacy and control.
b.well focuses on aggregating healthcare data from providers, payers and digital health tools, giving users a unified view of their health information. By combining this data with AI search capabilities, the companies aim to enhance how individuals access and understand health information. AI-driven search tools are increasingly being used to answer health-related questions, raising concerns about accuracy and reliability. The launch builds on b.well's broad strategy to enable next-generation AI-powered health assistants.
Posted by MedCloudInsider Editors on 03/23/20260 comments
Function, a proactive health platform, has expanded its portfolio of AI connectors with a new integration for Perplexity Health, designed to bring health-related insights into enterprise applications. The connector enables organizations to incorporate AI-driven health search capabilities into workflows by linking Perplexity’s platform with Function’s integration layer. The goal is to allow users to access and act on health information within existing systems without switching between tools. The connector is aimed at allowing members to securely connect lab results with clinician-reviewed summaries to Perplexity so their data is available in AI tools as needed.
Function develops connectors that link AI services with enterprise data sources and applications. By adding support for Perplexity Health, the company aims to extend how organizations can use AI-generated insights alongside internal data and workflows. Enterprises are increasingly adopting connector frameworks to integrate AI services with operational systems.
Posted by MedCloudInsider Editors on 03/23/20260 comments
XRlabs, a surgical intelligence company, announced what it said is the first human use of a physical artificial intelligence system integrated with the ORBEYE exoscope, powered by NVIDIA Jetson Thor. The system applies AI models directly within a surgical imaging environment to support real-time analysis during procedures. By running AI at the edge, the platform is designed to process visual data locally, reducing latency and enabling faster insights for clinicians. Future developments planned include intelligent exoscope automation, real-time surgical video integration, intraoperative scene understanding and immersive stereoscopic viewing.
The ORBEYE exoscope is used in surgical settings to provide high-resolution, magnified views of operating fields. By integrating AI into the system, XRLabs allows for enhanced visualization and potential decision support during complex procedures. Healthcare organizations are increasingly exploring AI applications in surgical and clinical environments, particularly those that can operate in real time.
Posted by MedCloudInsider Editors on 03/18/20260 comments
Sartorius, a biopharmaceutical laboratory, has introduced a next-generation platform, the Eveo Cell Therapy Platform, aimed at improving efficiency and scalability in cell therapy production. The platform is designed to integrate key steps in the manufacturing process, helping organizations manage complex workflows involved in developing and producing cell-based therapies. The system focuses on improving process consistency, reducing manual intervention and enabling better control over production environments.
The new platform integrates cell selection, activation, gene modification, expansion, wash and concentration as well as final formulation into a closed system using critical raw materials to bioreactors and separation technologies.
Cell therapy manufacturing presents unique challenges due to the complexity of handling living cells and the need for precise, repeatable processes. Sartorius said the new platform is intended to help biopharmaceutical companies standardize operations while supporting the transition from research to large-scale production. Demand for cell and gene therapies continues to grow as new treatments enter clinical and commercial stages. Sartorius aims to begin with order processing in September 2026, with the first deliveries of the Eveo Platform expected by 2027.
Posted by MedCloudInsider Editors on 03/18/20260 comments
Mentis Care, an AI-driven neuromonitoring company, announced a research collaboration with Emory University aimed at developing artificial intelligence systems that can detect and predict epileptic seizures using multiple types of neurological data. The project will focus on creating channel-agnostic AI models capable of analyzing signals from different monitoring technologies, including electroencephalography and other neurological data sources. The goal is to improve seizure detection accuracy and enable earlier identification of patterns that may indicate an impending seizure. Improvement in even five minutes of warning times for seizure detection is vital for patients, which is the aim behind Mentis Care building the technology powered by AI to solve this.
Researchers say traditional seizure detection systems often depend on specific monitoring channels, which can limit their effectiveness across different clinical environments or patient monitoring devices. AI models designed to analyze diverse signal types could expand how seizure monitoring systems are deployed in hospitals and research settings. The collaboration reflects growing interest in applying machine learning to neurological monitoring and epilepsy care with an ongoing research focus on development, clinical review and regulatory testing.
Posted by MedCloudInsider Editors on 03/16/20260 comments
Caris Life Sciences, a next-gen AI TechBio company, has introduced a new capability within its Caris AI Insights platform designed to help clinicians identify early resistance to platinum-based chemotherapy in ovarian cancer patients (HGSOC). The tool analyzes molecular and genomic data to detect patterns associated with platinum resistance, a common challenge in ovarian cancer treatment. Identifying resistance earlier could help clinicians adjust treatment strategies before the disease progresses. Harnessing AI across comprehensive real-world databases, Caris aims to accelerate biomarker discovery and enhance therapeutic decision-making of more personalized cancer treatments.
Platinum-based chemotherapy remains a standard treatment for many ovarian cancer patients, but resistance often develops, limiting long-term effectiveness. Tools that analyze genomic and biomarker data are increasingly used to guide precision oncology decisions and help physicians select therapies tailored to individual patients. The Caris AI Insights capability is intended to support oncologists by providing insights derived from large-scale molecular profiling data.
Posted by MedCloudInsider Editors on 03/16/20260 comments
Lightbeam Health Solutions, an AI-enabled solutions leader in healthcare, showcased new artificial intelligence and analytics capabilities designed for healthcare organizations that take on financial risk for patient care. At the HIMSS26 conference, the company highlighted copilot-style AI tools and enhanced actuarial analytics intended to help healthcare providers and health systems manage risk-based care models. The capabilities are designed to help organizations analyze population health data, forecast costs and identify opportunities to improve patient outcomes while controlling expenses. Some of the capabilities showcased included, analytics copilot, cohort copilot, support for CMS models, expanded value-based contracting capabilities through Syntax Health and predictive ACO optimization tools.
Risk-bearing organizations, including accountable care organizations and value-based care providers, rely heavily on analytics to manage patient populations and financial performance. Tools that combine actuarial modeling with clinical data can help healthcare leaders evaluate treatment patterns, utilization trends and potential cost drivers. Healthcare providers are increasingly investing in AI and advanced analytics platforms as the industry shifts toward value-based care. Lightbeam will also showcase these new capabilities through the Microsoft Marketplace as a Microsoft Partner.
Posted by MedCloudInsider Editors on 03/09/20260 comments
Betterness, an augmented wellness platform, has introduced what it calls an agentic health and wellness MCP platform designed to support artificial intelligence agents that manage personalized wellness services and related data. The platform provides infrastructure for building AI agents capable of interacting with health and wellness systems, applications and user data. These agents are intended to automate tasks such as tracking health metrics, coordinating services and delivering personalized recommendations based on user information. Through a single MCP connection, AI agents can coordinate diagnostic testing, retrieve biomarker results, compute biological age, collaborate with specialized health agents and discover over 50,000 health and wellness providers.
Betterness aims for the framework to be integrated with existing digital health tools and wellness platforms while maintaining controls over how data is accessed and used. The approach aims to allow developers and organizations to build AI-driven services that interact with multiple health-related systems. Technology vendors and healthcare providers are increasingly exploring AI agents that can manage tasks across digital health platforms. The Betterness MCP is delivered as an open protocol, allowing developers to build agents that interact with Betterness Infrastructure and other health ecosystems.
Posted by MedCloudInsider Editors on 03/09/20260 comments
New research, published in JAMA Ophthalmology by the University of Colorado, reports that artificial intelligence analysis of eye photographs may help detect serious heart and lung conditions in premature infants. The approach uses machine learning to analyze retinal images typically captured during routine screening for retinopathy of prematurity, an eye disorder that can affect infants born early. By examining patterns in the blood vessels of the eye, researchers found the system may be able to identify signs associated with cardiopulmonary conditions affecting the infant. AI analysis of retinal imagery can help clinicians with early detection and can reduce the need for more invasive testing.
Early detection of complications such as pulmonary hypertension and other cardiovascular issues is critical for premature babies receiving care in neonatal intensive care units. Clinicians currently rely on a combination of imaging, monitoring and clinical assessments to identify these conditions. Researchers claim that AI-based screening tools could eventually support clinicians by identifying subtle warning signs earlier in the care process.
Posted by MedCloudInsider Editors on 03/09/20260 comments
Hoth Therapeutics, a clinical-stage biopharmaceutical company, announced that it will be using the OpenAI API to support research and development for its HT-KIT oncology program, a drug candidate being studied for potential cancer treatments. The technology is being used to analyze scientific literature and biomedical data related to KIT mutations and other cancer-related pathways. By applying AI tools to research workflows, Hoth aims to identify insights that could help guide the development of the experimental therapy. The OpenAI API has been integrated into the HT-KIT development workflow for preclinical data analysis, molecular modeling and preparing regulatory documents.
HT-KIT is being developed as a potential orphan drug, a designation used for treatments targeting rare diseases or conditions affecting relatively small patient populations. Drug developers often seek orphan status because it can provide regulatory incentives and market exclusivity if approved. Technology companies and pharmaceutical researchers are exploring ways generative AI can help interpret complex biomedical datasets and shorten development timelines. The integration supports the execution of IND-enabling strategies in HT-KIT research.
Posted by MedCloudInsider Editors on 03/09/20260 comments
Pivot Point Consulting, an IT consulting leader in the healthcare sector, has joined the Microsoft Rural Health Resiliency Program, an initiative designed to support rural hospitals and healthcare organizations in strengthening cybersecurity and advancing digital transformation. The collaboration focuses on helping underserved providers adopt secure cloud technologies and modern IT practices. The collaboration will implement Dragon Copilot readiness assessments, provide national webinars and demo, ensure workflow design governance is adhered to and provide education at major rural and digital health conferences. Rural hospitals can request a no-cost Dragon Copilot readiness assessment from Pivot Point Consulting.
Rural healthcare systems often face limited IT resources and heightened cybersecurity risks, particularly as ransomware and phishing attacks increasingly target smaller hospitals. Microsoft’s Rural Health Resiliency Program seeks to address these gaps by combining technology access, security guidance and partner expertise. Through the program, Pivot Point Consulting will provide advisory and implementation services aimed at improving infrastructure resilience, compliance posture and cloud adoption strategies. For healthcare IT leaders, the initiative reflects broader efforts to close the digital divide between urban and rural providers while strengthening cybersecurity defenses across the healthcare ecosystem.
Posted by MedCloudInsider Editors on 03/05/20260 comments
Quest Diagnostics, a leader in diagnostic information services, has introduced an AI-powered companion, called Quest AI Companion, within the MyQuest platform, designed to help patients better understand and act on their lab test results. The tool provides personalized explanations, contextual health information and suggested next steps based on individual diagnostic data, with the goal of improving patient engagement and clarity. Users can prompt the AI Companion to assist with composing questions to ask healthcare providers, empowering patients to have informed conversations with clinicians.
As access to digital health records expands, patients increasingly review lab results directly through online portals, often without immediate clinical interpretation. The AI companion integrates into its digital patient experience, supporting users in understanding results and preparing for follow-up discussions with healthcare providers. For healthcare IT leaders, the launch reflects a broader trend of embedding generative AI into patient-facing platforms to enhance comprehension, streamline communication, and support more informed health decisions.
Posted by MedCloudInsider Editors on 03/03/20260 comments