Latest collaborations in the sector

Tempus × Merck
Tempus has announced a strategic collaboration agreement with Merck to support AI-driven precision medicine, with the partnership focused on using Tempus’s data, machine learning and analytics capabilities to help identify novel biomarkers, understand cancer resistance mechanisms and inform combination strategies for Merck’s early oncology pipeline. The collaboration is designed to apply health-tech infrastructure directly to drug development, using multimodal data and AI to improve how therapies are matched, developed and refined. Significance: Highlights how health-tech platforms are becoming central partners in biopharma R&D, extending AI’s role from clinical workflow support into biomarker discovery and precision oncology strategy. 

Withings Health Solutions × 9amHealth
Withings Health Solutions has partnered with 9amHealth to strengthen employer-sponsored obesity care by combining connected body-composition monitoring with 9amHealth’s virtual cardiometabolic care model. The collaboration brings Withings’ remote patient monitoring devices and patient-generated data into a care pathway aimed at supporting obesity management and related metabolic conditions, giving care teams richer visibility between visits. Significance: Reinforces the growing link between connected devices and virtual specialty care, showing how health tech partnerships are being used to make chronic disease management more continuous, measurable and employer-friendly. 

Ubie × Mayo Clinic
Ubie has announced a collaboration with Mayo Clinic to build what the companies describe as a unified, AI-powered chat and voice platform for the digital front door. The partnership is intended to streamline healthcare access through natural-language interactions that help patients get answers, navigate triage and move more smoothly into scheduling and next-step care. Significance: Shows how provider organisations are increasingly using AI partnerships to modernise access and patient navigation, with the digital front door becoming a key battleground in health-tech innovation. 

Sibel Health × LookDeep Health
Sibel Health and LookDeep Health have entered a strategic partnership to combine Sibel’s FDA-cleared ANNE One wearable monitoring platform with LookDeep’s bedside clinical AI assistant, aimee. The collaboration is aimed at translating continuous vital-sign data into more actionable bedside insights across the hospital journey, from emergency care to inpatient recovery and into hospital-at-home or post-discharge settings. Significance: Strengthens the convergence of wearable monitoring and real-time clinical AI, pointing to a future in which continuous patient data is paired with decision support rather than simply collected and stored. 

Speechmatics × Edvak EHR
Speechmatics has partnered with Edvak EHR to embed enterprise-grade speech recognition into Edvak’s AI-native electronic health record platform. The collaboration is designed to convert live clinical conversations into structured, audit-ready documentation with clinician oversight, while also supporting downstream tasks such as referrals, coding and care coordination directly inside the EHR. Significance: Underlines the rapid push to turn voice AI into an operational layer inside clinical systems, with documentation automation increasingly tied to workflow execution rather than transcription alone. 

athenahealth × b.well
athenahealth and b.well have announced a collaboration to introduce patient-controlled digital health data sharing at the point of care. The partnership is intended to let patients more easily retrieve and share relevant health information during care encounters, helping to reduce friction for providers while giving individuals greater control over how their data moves across the system. Significance: Signals growing momentum behind patient-mediated interoperability, with health-tech firms trying to make data portability more practical in real clinical settings rather than a compliance exercise on paper. 

WHOOP × Unilabs
WHOOP has launched Advanced Labs in the UAE through a diagnostic partnership with Unilabs, combining laboratory testing with WHOOP’s wearable-driven wellness and recovery insights. The collaboration is intended to give members a more comprehensive view of health by linking biomarker testing with behavioural and physiological data captured through the wearable platform. Significance: Illustrates how consumer and clinical health tech are increasingly converging, with partnerships blending diagnostics and wearables to create more holistic monitoring models. 

CLEAR × Mount Sinai
CLEAR has announced a collaboration with the Mount Sinai Health System aimed at bringing more seamless and secure healthcare experiences to patients in New York. The partnership focuses on using CLEAR’s identity technology to simplify aspects of the patient journey while improving trust and reducing administrative friction in access and engagement. Significance: Shows that digital identity and verification are becoming a more visible part of health-tech collaboration, especially as providers look to modernise patient access without sacrificing security

Recent healthcare data and cybersecurity breaches

University of Hawaiʻi Cancer Center discloses major research-data cyberattack
The University of Hawaiʻi said on 27 February 2026 that a cyberattack on the UH Cancer Center’s Epidemiology Division may have exposed records containing Social Security numbers, driver’s licence-linked identifiers and some health-related research data. The university said the incident potentially affects 87,493 Multiethnic Cohort study participants plus roughly 1.15 million additional individuals whose historical driver’s licence or voter-registration records were used in research recruitment, although it added that clinical trials operations, patient care and student records were not affected. The breach stands out because it hit a research environment rather than frontline care systems, exposing the cybersecurity risks around long-retained population-health datasets. 

University of Mississippi Medical Center hit by ransomware attack
The University of Mississippi Medical Center confirmed on 20 February 2026 that it had suffered a ransomware attackaffecting core systems, including its electronic health record and phone systems. In a message from the vice chancellor, UMMC said the incident forced it to use downtime procedures, cancel statewide clinic operations and elective procedures for two days, and prioritise urgent and time-sensitive care while recovery work continued. The case is notable less for exposed data totals than for the immediate operational disruption to a major academic medical centre. 

Lakelands Public Health reports cyber incident affecting internal systems
Ontario’s Lakelands Public Health said on 3 February 2026 that it was responding to a cybersecurity incident discovered on 29 January 2026 that affected some internal systems and caused temporary service disruptions. The agency said systems housing infectious-disease and clinical appointment data, including immunisation and sexual-health appointments, had not been impacted based on what it knew at that stage, and that affected individuals would be contacted if the investigation later found that personal or personal health information had been compromised. The incident is a reminder that even when the most sensitive clinical systems are spared, cyberattacks can still disrupt public-health operations and communications. 

TriZetto provider-portal breach ripples across healthcare organisations
A breach at TriZetto Provider Solutions, a billing and eligibility-verification vendor used by healthcare providers, continued to surface across the sector in late January and February 2026. Deschutes County Health Services said on 29 January 2026 that the incident occurred in TriZetto’s own environment, may have exposed protected health information for more than 700,000 people, and led local agencies to notify affected patients directly; MercyOne similarly posted a notice on 9 February 2026 saying the compromised data may have included names, addresses, dates of birth, Social Security numbers, health-insurance identifiers and other demographic or health-insurance information. The episode is significant because it shows how a single vendor breach can cascade across multiple care organisations even when their own systems were not directly compromised. 

Variety Care warns patients after third-party breach involving eligibility data
Oklahoma-based Variety Care posted a breach notice stating that affected individuals would receive physical letters in January 2026 after learning that TriZetto Provider Solutions had suffered suspicious activity in a web portal used by provider customers. Variety Care said the unauthorised access dated back to November 2024 and may have involved names, addresses, dates of birth, Social Security numbers, health-insurance member numbers, insurer names and other demographic and health-insurance information, though it said no payment-card or bank-account data was involved. The incident highlights how downstream contractor breaches can expose protected health information well after the initial compromise began. 

Emanuel Medical Center notifies patients after unauthorised access to clinical files
Emanuel Medical Center issued a public notice on 17 February 2026 saying it was informing individuals about a cybersecurity incident involving unauthorised activity on its systems. The hospital said suspicious activity was detected on 22 May 2025, that an unauthorised third party is believed to have accessed part of its systems between 21 and 24 May 2025, and that affected files contained a wide range of information including names, dates of birth, contact details, government ID numbers, insurance information, diagnoses, treatment details, prescriptions, medical histories and lab reports. This was a more traditional provider breach, with the likely exposure of both personal and detailed clinical information. 

Latest additions to the health tech marketplace

Epic × Microsoft

Epic and Microsoft rolled out Copilot-enabled generative AI features across Epic’s EHR ecosystem, embedding Microsoft Azure OpenAI–powered tools directly into clinical workflows. The launch enables clinicians to auto-draft visit summaries, respond to patient messages, and generate ambient documentation from conversations, with outputs routed through Epic’s existing clinical safety and governance layers. Health systems can activate features selectively, with auditability and human review built in. Strategically, the release marks one of the first large-scale, production deployments of generative AI inside a dominant EHR, shifting AI from experimental add-ons to day-to-day operational tooling. For providers, the promise is reduced documentation burden and faster patient communication; for Epic, it reinforces platform stickiness as competitors race to integrate similar copilots. Roll-out is proceeding system-by-system rather than universally enabled at launch.

Dexcom × Apple Health

Dexcom introduced expanded Apple Health integration that allows real-time continuous glucose monitoring (CGM) data to flow more deeply into Apple’s health ecosystem, including trend visualisation alongside activity, sleep and nutrition metrics. The update improves background syncing and gives users richer longitudinal views without opening Dexcom’s standalone app. For people managing diabetes or metabolic health, the launch tightens the link between medical-grade sensors and consumer health platforms. Strategically, it reinforces the convergence of regulated medical devices with consumer operating systems, positioning CGMs as core inputs for broader preventive and lifestyle health experiences rather than condition-specific tools.

NHS England × Accurx

Accurx launched enhanced patient-initiated messaging and triage features across its NHS-embedded communications platform, expanding beyond one-way SMS into structured digital conversations that integrate with GP and community workflows. Patients can submit requests, images and responses that feed directly into clinical systems, while practices gain configurable routing and prioritisation tools. The update supports NHS policy goals around access, demand management and digital front doors, while keeping data within NHS-approved infrastructure. Strategically, the release moves Accurx further from messaging utility toward a lightweight care-coordination layer across primary and community care.

Babylon Health × New Clinical Triage AI Model (UK/US)

Babylon Health announced the go-live of an upgraded AI clinical triage engine that underpins its on-demand symptom checker and virtual care routing workflows. The new model incorporates multimodal inputs (text, symptom timelines, optional wearable metrics) and leverages federated health data to improve differential generation and urgency stratification — with versioning aligned to national guidelines in the UK and U.S. markets. The feature now powers booked triage sessions, clinician handoffs and care pathway suggestions, and is integrated into the Babylon app and provider dashboards without separate download. For patients, this rollout promises more precise care recommendations and streamlined navigation; for Babylon, it solidifies AI-assisted triage as a core differentiator in virtual care.

Teladoc Health × Enhanced Mental Health Platform (Global)

Teladoc Health went live with a major upgrade to its mental health platform, adding adaptive care journeys, real-time mood and behaviour tracking, and contextual support nudges based on session progress and wearable-linked data. The update — delivered within the main Teladoc app — includes new clinician-facing dashboards that summarise risk signals and progress metrics, as well as expanded content libraries for CBT, DBT and mindfulness support tailored to anxiety, depression and stress disorders. The rollout spans U.S. and international markets and is part of a broader “Connected Mental Health” strategy that ties longitudinal data to personalised care plans.

Epic × Healthy Planet Analytics Enhancements

Epic launched a new version of its Healthy Planet population analytics module, introducing predictive risk scoring and care gap prioritisation tools that harness machine learning models across EHR, claims and social determinants data. The enhancements deliver care-gap dashboards for payors and providers, automated cohort identification for quality programs (HEDIS and national screening benchmarks), and real-time performance monitors tied to incentive metrics. Rolled out across Epic’s hosted cloud environments, the update aims to help health systems improve preventive outreach, manage high-risk cohorts and reduce avoidable admissions.

MyFitnessPal × Nutrition Insight Engine Upgrade

MyFitnessPal issued a major content & algorithm upgrade to its nutrition tracking engine, powered by an expanded food database and AI-augmented portion estimation from images. The new version automatically classifies meals with improved macro/micronutrient accuracy and ties recommendations to user-specific health goals (e.g., metabolic health, blood glucose stability). While not a clinical device, this rollout strengthens the wellness side of health tech by giving consumers deeper actionable insight tied to personalized objectives and trends.