In Hardware and Network news this week…

F5 is helping telecommunications service providers modernize their critical infrastructure networks as connectivity demands and digital services continue to evolve. Modern network environments must support growing traffic volumes, emerging applications, and increasingly complex security requirements. Infrastructure modernization can help telecom operators improve network performance, strengthen resilience, and create a more adaptable foundation for delivering digital services. These capabilities are becoming particularly important as providers prepare their networks for increasingly distributed workloads and AI-driven applications.

In Business Technology news this week…

Cisco is advancing agentic collaboration experiences designed to bring AI more deeply into workplace communication and teamwork. The development reflects a shift from AI tools that simply answer questions toward systems that can assist with tasks and coordinate work across digital environments. For businesses, agentic collaboration could help reduce repetitive activities, streamline meetings and workflows, and enable employees to focus on higher-value responsibilities. Successful adoption will also depend on integrating these capabilities into existing work practices while maintaining appropriate oversight.

In Cloud Computing & Mobility news this week…

Cloudflare is introducing Basin to expand access to enterprise data analytics. Making analytics more accessible can help organizations enable a wider range of teams to work with data and derive insights without relying exclusively on specialized technical resources. As businesses generate information across increasingly distributed digital environments, accessible analytics capabilities can support faster decision-making and improve operational visibility. The broader trend is toward bringing data analysis closer to everyday business workflows so that insights can inform decisions across departments.

In Artificial Intelligence news this week…

EPAM is launching its Frontier AI service to help enterprises address the gap between AI capabilities and practical business intelligence. Organizations are increasingly looking to move beyond isolated AI experiments and apply advanced models to real operational challenges. Services focused on enterprise AI adoption can help businesses connect AI technologies with existing data, workflows, and business objectives. The opportunity lies in translating AI potential into measurable outcomes while addressing integration, governance, and organizational readiness.

In Quantum Computing news this week…

IBM has reached Stage C in the Defense Advanced Research Projects Agency’s quantum benchmarking initiative focused on fault-tolerant quantum systems. Fault tolerance is a critical challenge in quantum computing because quantum information is vulnerable to errors that can undermine calculations. Progress in benchmarking initiatives helps assess whether quantum technologies are advancing toward reliable, practical computation. Such milestones are important for the broader research community as it works to develop quantum systems capable of addressing problems beyond the reach of conventional computing.

In FinTech news this week…

Experian is introducing a Cashflow Data Bureau to support the use of cash-flow information in credit underwriting. Traditional credit assessments can leave gaps in the financial picture of individuals and businesses, particularly when conventional credit histories provide limited insight. Cash-flow data can offer additional context about income, expenses, and financial behavior, potentially helping lenders make more informed assessments. For financial institutions, alternative data sources could support improved risk evaluation and broader access to credit, provided that privacy, data accuracy, and responsible lending practices remain priorities.

In HealthTech news this week…

QIAGEN is expanding its AI-powered bioinformatics capabilities to support drug discovery and biological research. As researchers work with increasingly complex biological datasets, computational tools can help identify patterns, interpret molecular information, and generate insights that inform research decisions. Integrating AI into bioinformatics workflows could help pharmaceutical and biotechnology teams analyze data more efficiently and investigate potential therapeutic opportunities. These capabilities are part of a wider movement toward data-driven life sciences, where advanced analytics can complement experimental research and support the development of new treatments.

Article of the Week

Robotic process automation is helping enterprises automate repetitive, rule-based tasks across business functions. From processing invoices and updating records to handling routine administrative workflows, RPA can reduce manual effort and improve process consistency. This guide explores how organizations can use automation to scale operations, increase productivity, and free employees to focus on more complex work. It also highlights the importance of selecting suitable processes and integrating automation with broader digital transformation initiatives to achieve sustainable business value.

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The Problem: Millions of patients leave hospitals with undiagnosed conditions

Hospitals today are overwhelmed with understaffed clinical teams and manual screening processes. This creates a cycle of worse health outcomes and systemic financial loss. Consider malnutrition: Most hospitals still screen for it with two questions that a nurse asks once, at admission. Patients who are sedated, confused or too sick to answer are the ones most likely to be missed. Up to half of hospitalized patients are at risk, yet fewer than 9% are formally diagnosed, contributing to increased morbidity, mortality, length of hospital stay, and cost1,2,3. When malnutrition is diagnosed and treated, it leads to better health outcomes, and hospitals can claim ~$11,000 in reimbursement for each severe malnutrition diagnosis. One Penn Medicine hospital observed that Healthleap drove $23.8M a year from a combination of incremental reimbursement revenue and the financial impact of length-of-stay reductions.

“Every week, millions of patients leave hospitals with unresolved health conditions that will erode their health and cost up to 10x more to treat later,” explained Josiah Meyer, co-founder and CEO of Healthleap. “Finding them now is prevention, and it’s a win for everyone. Patients get treated before they get sicker. Hospitals shorten stays and are paid for the care they deliver. Payers avoid the much larger cost of complications down the road. Our goal is to improve care and save lives by catching these conditions early.”

Also Read: Arcadia Launches Healthcare Performance Platform to Improve Clinical, Operational, and Financial Outcomes

How Healthleap helps hospitals

Starting with malnutrition, a condition that costs the US healthcare system up to $58B annually, Healthleap is the first and only validated AI malnutrition screening tool that delivers an EHR-integrated screening layer for hospitals. Created by clinicians for clinicians, it continuously analyzes every patient’s record, including notes, labs, vitals, orders, problem lists, and flags risk for conditions. Healthleap then pushes actionable risk scores into optimized EHR workflows to support clinicians in identifying, treating, and improving their patients’ health. Hospitals can screen every patient every day with higher precision. The result is shorter lengths of stay, improved patient outcomes, and increased hospital reimbursement. With demonstrated results in malnutrition, the company is rapidly expanding to other conditions, including congestive heart failure, pressure ulcers, various hospital-acquired infections, and more. Its platform is HIPAA-compliant and SOC 2-certified.

“Healthleap is focused on finding patients who are being missed and getting them the care they need,” said Alfred Lin, Partner at Sequoia Capital. “The impact for both patients and hospitals has been inspiring, with one hospital seeing 39% more malnutrition cases identified and treated, and $11 million in incremental revenue in a single health system.”

Josh Kopelman, co-founder and partner at First Round Capital, shared, “We were immediately drawn to Healthleap’s bold vision: imagine if every hospital could use real-time AI to spot overlooked clinical risk, improve patient care, and unlock meaningful reimbursement revenue. That’s exactly what Healthleap is delivering and more, starting with disease-related malnutrition and rapidly expanding across conditions to save lives and hospitals money.”

Healthleap was founded by sibling duo Josiah and Jemima Meyer, who teamed up after Jemima, as a clinician, started building tools to help herself and colleagues treat patients faster. They started Healthleap in 2022 to build proactive, preventive systems and safety nets for patients across the world. They aim to improve the health of as many people as possible.

The post Healthleap Raises $38M to Help Hospitals Find Patients with Undiagnosed Conditions appeared first on ITDigest.

Also Read: MyOme and Oracle Partner to Advance Global Scale Predictive Genomic Risk Modeling

The launches build on more than 25 years of biomedical knowledge from QIAGEN Digital Insights (QDI), whose bioinformatics tools are used by around 150,000 users. QIAGEN is also expanding AI across its digital portfolio, including AI-powered translation in QIAGEN Clinical Insight Interpret and machine learning combined with expert-reviewed information in Franklin by QIAGEN. The company’s approach emphasizes evidence-based AI, addressing concerns around the reliability and transparency of AI-generated scientific insights as researchers handle increasingly complex datasets. The expansion positions QIAGEN to support pharmaceutical, biotechnology, and academic research organizations seeking to integrate AI into biological analysis and drug discovery while retaining scientific context and confidence in the results.

Read More: QIAGEN Expands AI-Powered Bioinformatics for Research and Drug Discovery

The post QIAGEN Expands AI-Powered Bioinformatics for Drug Discovery appeared first on ITDigest.

“Healthcare organizations don’t need more insights they need confidence and the ability to act on them for every patient they serve,” said Michael Meucci, President and CEO, Arcadia. “We’re bringing together the intelligence organizations need to understand what’s happening with the workflows they need to do something about it all on a foundation they can trust.”

Independent research validates the need to close the gap between insight and action.

“Payer and provider organizations are confronting a clear reality. Data and analytics are no longer the only limiting factor. A very real challenge is turning insight into consistent, coordinated action across essential functions in an environment marked by rising patient complexity and ongoing workforce constraints,” said Benjamin Cassity, Director of Research and Strategy, KLAS Research.

Also Read: Gluware Extends Its Automation Platform Beyond the Network to Connected Medical Devices 

One Platform for Healthcare Performance

Ascent Platform is the healthcare intelligence foundation that unifies data, analytics, and AI-native workflows. With Ascent Connect, Arcadia’s standards-based interoperability layer, organizations can securely link systems and keep trusted data flowing to every workflow it touches, without the usual integration lift.

On top of that foundation, five purpose-built solutions let organizations adopt the functionality they need today and expand over time:

• Ascent Performance helps organizations improve quality, identify and close care gaps, capture risk more accurately, and strengthen financial performance.
• Ascent Care helps care teams identify needs earlier and coordinate action across shared workflows, using AI-powered patient prioritization and a care navigation agent to scale always-on whole-person care to all populations — not just those in accountable relationships.
• Ascent Insight helps organizations move from insight to action using conversational AI, automated dashboard delivery, and predictive models, backed by governed data management and analytics that make that intelligence trustworthy at scale.
• Ascent Finance supports every stage of the contracting lifecycle — from negotiation through execution and reconciliation — running actuarially sound scenarios to help organizations forecast results, manage financial risk, and optimize performance and revenue across commercial and government payer arrangements.
• Ascent Network helps organizations design, evaluate, and optimize provider networks, reduce referral leakage, and strengthen network performance using provider performance data, market intelligence, and episode-level analytics.

Arcadia CareJourney provides market and network intelligence, drawing on one of the nation’s largest claims datasets to help organizations understand referral patterns, evaluate provider performance, optimize networks, and identify opportunities to improve quality while reducing avoidable costs.

Arcadia LifeScience turns longitudinal clinical and claims data into research-grade real-world evidence, then puts that evidence to work by translating it into insight that supports clinical workflows and research and activating it directly inside the tools clinicians use so providers can connect eligible patients with emerging therapies and clinical research in real time.

“Healthcare has no shortage of data, but true front-line execution comes from the ability to turn fragmented data into a structured, AI-ready, reliable signal that care teams can act on in real time,” said Sanjay Doddamani, Founder and CEO, Guidehealth. “Arcadia provides the data and analytics backbone for our clinically intelligent workflows, helping us improve quality, lower total cost of care, and drive sustainable value-based performance.”

Confidence to Automate, Earned Over Time

Most AI vendors offer a single setting: on. Arcadia provides a spectrum that matches AI oversight to risk level assistive while trust is being earned, autonomous once it’s proven, and always with a full record of what it did and why.

“Healthcare doesn’t need another AI tool bolted onto fragmented data,” said Chris Rallo, Chief Product Officer, Arcadia. “AI becomes valuable when it identifies risk or catches a quality gap before it becomes a cost, fits into how the work gets done, and knows when to act on its own and when to bring in a person. We’re helping organizations execute faster with AI built on a foundation they already trust.”

Built for This Moment

The launch comes as providers and payers face increasing pressure to improve outcomes while managing cost, complexity, and workforce constraints across every patient population, not only those in accountable arrangements. Value-based care models have demonstrated the potential of disciplined execution to generate meaningful savings, but organizations still struggle to coordinate data, decisions, and execution across disconnected systems and teams.

“Healthcare’s next challenge is extending operational rigor to every patient, not just those under value-based care,” said Meucci. “We’ve brought together trusted data, network intelligence, and workflow on a common foundation so organizations can move faster from understanding what needs to happen to actually making it happen. AI makes that opportunity even more powerful, but only when organizations can deploy it with the transparency and control healthcare demands.”

The portfolio builds on Arcadia’s acquisition of CareJourney in 2024, investment by Nordic Capital to build faster, and an expanded product strategy focused on making AI operational within healthcare workflows.

That execution is already producing measurable results. A clinically integrated network of federally qualified health centers closed 708,000 quality gaps in a single year, improving performance by 20 percent. A large non-profit health system generated $7.5 million in shared savings by improving its MSSP risk performance. A regional health plan reduced analyst time by 29 percent and avoided more than 780 hours of internal IT work by automating insight delivery across its organization.

The post Arcadia Launches Healthcare Performance Platform to Improve Clinical, Operational, and Financial Outcomes appeared first on ITDigest.

The access to the medical records of patients was typically constrained by manual identity verification process, disjointed portal sign-ins, and slow administrative procedures. In order to meet the HIPAA requirements for privacy, the healthcare providers need to carefully verify the identities of individuals. The joint product from Datavant and ID.me eliminates all of these barriers through secure and automated digital identity verification process.

Advancing Identity Security and Health Data Interoperability

The integration connects ID.me’s identity verification platform directly into Datavant’s nationwide health data network, which links thousands of hospitals, health systems, and medical clinics. Patients requesting medical files can verify their identity using existing ID.me credentials widely utilized across federal and state government agencies eliminating redundant identity checks and accelerating record delivery.

Also Read: Anatomy IT Launches Health IT 360 to Streamline Managed Care Solutions 

Key technical capabilities and patient security benefits delivered by the joint integration include:

Frictionless Digital Authentication: Enables patients to authenticate their identities rapidly using secure digital credentials, avoiding paper-based forms and manual identity reviews.

NIST-Compliant Identity Security: Enforces federal standards for identity verification, protecting patient health records against identity theft and unauthorized disclosures.

Accelerated Record Retrieval Speeds: Shortens medical record fulfillment windows from weeks to minutes by automating identity confirmation for health systems.

Unified Cross-Network Interoperability: Allows verified patients to request and consolidate medical records securely from multiple care providers across the Datavant ecosystem.

HIPAA-Compliant Data Privacy Controls: Protects patient data sovereignty by ensuring health information is released only to validated individuals or authorized proxies.

Streamlining Care Coordination and Empowering Patients

Through eliminating traditional forms of fulfillment through validated digital authentication, Datavant, and ID. Me help health systems, payers, and clinical networks advance patient experience. The alliance reduces record department administrative actions, improves trust within existing data security measures, and grants consumers clear, straightforward dominion over their medical records.

The post Datavant and ID.me Partner to Streamline Patient Health Record Access appeared first on ITDigest.

In Hardware and Network news this week…

Innodisk Launches DDR5-8000 RDIMM for Edge AI and High-Performance Computing

Innodisk is expanding its memory portfolio with a DDR5-8000 RDIMM designed to support edge AI and high-performance computing workloads. As enterprises deploy increasingly compute-intensive applications closer to where data is generated, high-speed and reliable memory is becoming an important infrastructure component. The new memory solution is positioned to support demanding workloads that require greater processing performance, helping organizations build infrastructure capable of handling AI, analytics, and other data-intensive applications.

In Business Technology news this week…

Arcadis Deepens Autodesk Collaboration to Accelerate AI-Led Infrastructure Delivery

Arcadis is deepening its collaboration with Autodesk to advance AI-led infrastructure delivery. The partnership highlights how engineering and infrastructure organizations are incorporating AI and digital technologies into design and project workflows. By combining industry expertise with Autodesk’s technology capabilities, the collaboration aims to support more efficient infrastructure development and help organizations manage increasingly complex projects through data-driven and AI-enabled processes.

In Cloud Computing & Mobility news this week…

Thales and Google Cloud Partner to Secure Agentic AI Workflows and Safeguard Autonomous Execution

Thales and Google Cloud are partnering to address security requirements surrounding agentic AI workflows and autonomous execution. As AI agents gain the ability to perform tasks and interact with enterprise systems, organizations need stronger safeguards around access, data, and automated actions. The collaboration focuses on helping enterprises deploy agentic AI while maintaining security and control, reinforcing the importance of trusted infrastructure as autonomous AI becomes more widely adopted.

In Artificial Intelligence news this week…

IBM Introduces Self-Hosted Deployment for IBM Bob to Advance Enterprise AI Sovereignty

IBM is introducing a self-hosted deployment option for IBM Bob to give enterprises greater control over their AI environments. The move addresses growing demand for AI sovereignty, particularly among organizations that need to maintain control over sensitive data, infrastructure, and AI workloads. Self-hosted deployments can provide businesses with greater flexibility around data governance and operational control as they integrate AI into critical enterprise processes.

In FinTech news this week…

Oracle Introduces Agentic AI Solutions to Fight Financial Crime

Oracle is introducing agentic AI solutions aimed at helping financial institutions combat financial crime. AI agents can support processes such as monitoring, investigation, and analysis by handling complex workflows and identifying relevant patterns across large volumes of financial information. The development reflects the financial sector’s growing interest in applying agentic AI to strengthen compliance operations while improving the speed and efficiency of financial crime detection and response.

In HealthTech news this week…

Oracle Launches Oncology EHR to Accelerate AI-Driven Cancer Care

Oracle is introducing an oncology-focused electronic health record designed to support AI-driven cancer care. The platform aims to provide healthcare organizations with specialized digital capabilities for managing oncology workflows and clinical information. As healthcare providers increasingly explore AI for clinical support and care coordination, purpose-built health technology can help make relevant patient information more accessible while supporting more connected approaches to cancer treatment and management.

In Enterprise Software news this week…

Omnissa Launches Omnissa Elara to Govern AI and Enterprise Actions

Omnissa is launching Omnissa Elara to provide governance over AI-driven and enterprise actions. As organizations introduce AI agents capable of interacting with applications and executing tasks, governance becomes increasingly important for maintaining visibility, control, and accountability. Elara is designed to address this emerging requirement by helping enterprises manage AI activity and automated actions across their digital environments while supporting more controlled adoption of agentic technologies.

Article of the Week

Data Science in Enterprise Business: How Organizations Turn Data Into Smarter Decisions and Growth

Data science is becoming an increasingly important part of how enterprises turn large volumes of information into actionable business insights. From predictive analytics and operational optimization to customer intelligence and strategic planning, organizations can use data science to identify patterns and make more informed decisions. This guide explores how businesses are applying data-driven approaches to improve operations, uncover opportunities, and support sustainable growth in an increasingly data-centric enterprise environment.

The post ITDigest’s Weekly News Roundup Featuring Autodesk, Thales, Google Cloud, IBM, Oracle, Omnissa and more appeared first on ITDigest.

Remediation is harder in a hospital than almost anywhere else. A vulnerable medical device cannot be pulled offline the way a laptop can, so patching one means working around clinical schedules and backup equipment. Every change also has to carry an approval and audit trail that will hold up to a regulator. Faced with those constraints, the industry built capable tools for identifying potential vulnerabilities and left the harder half of remediating them to spreadsheets, email threads, and manual ticket entry.

That manual process is losing ground. CVE submissions rose 263% between 2020 and 2025, according to NIST, outpacing the public vulnerability infrastructure hospitals rely on to turn a disclosure into a device-specific alert. The backlog now shows up in the fleet itself: the average connected medical device carries 6.2 known vulnerabilities, roughly 75% of infusion pumps carry one listed in CISA’s Known Exploited Vulnerabilities catalog, and roughly 60% of the installed base runs components no longer receiving manufacturer support at all, according to Ordr’s 2026 medical device research. Meanwhile, healthcare has remained the costliest industry for data breaches for more than a decade, averaging $7.42 million per incident in IBM’s 2025 Cost of a Data Breach Report.

A proven model, applied to a new device class

Gluware IoMT Exposure Management is built on the same foundational automation engine Gluware runs across enterprise network infrastructure, and on DIAL (Device Interaction and Automation Layer), the semantic translation layer proven across 56 operating systems and 22 vendors. This is not another point solution for hospitals to integrate and maintain. IoMT Exposure Management is that platform extended to a new class of devices the same platform, the same change-control model, and the same team already automating the network.

“Most hospitals can tell you what’s on their network. Far fewer can tell you which of those devices are actually exposed today, when each one was fixed, and who approved the change,” said Jeff Gray, CEO and Co-Founder of Gluware, Inc. “Hospitals shouldn’t have to stand up a separate platform and a separate team to protect the devices closest to patient care. We’ve spent nearly two decades closing that gap on enterprise networks, under the kind of change control that clinical environments demand.”

Also Read: Movemedical Launches Ask Move AI, the First AI Assistant Purpose-Built for Med Device Field Operations

The solution connects five stages into a single pipeline:

• Clinical-grade discovery. Gluware leverages Claroty xDome as the source of truth for IoMT inventory, pulling in device details and the vulnerability relationships tied to each device rather than standing up a second inventory for hospitals to reconcile.

• Component-level vulnerability matching. CVEs are enriched against data from the MITRE CVE Program and matched against the specific components and configurations present on each device to reduce the false positives and false negatives that erode staff confidence in alerts.

• From advisory to applicable patch. Knowing a CVE exists does not tell a team what to install. Gluware’s integration with the Microsoft Update Catalog retrieves the specific Knowledge Base update for each supported platform and flags components that no longer receive manufacturer support, where a compensating control is the best available option.

• A shared operational record. A new IoT Device Manager gives clinical engineering and IT the same continuously updated view of the device fleet, closing a longstanding gap between two teams that use different tools and different vocabularies.

• Change-controlled execution. Gluware’s Network RPA and ServiceNow integration open a change ticket for every patch action, route it through the hospital’s existing approval process, and write the completed action back as a system of record.

Most of these stages already exist in a large hospital, spread across separate tools owned by separate teams. The delay accumulates in the handoffs between them: the export from one system into another, the cross-reference done by hand, the ticket opened manually and closed without a link back to the device it covered. Running the stages as one pipeline removes those handoffs, transforming the change record into a product of the work itself rather than something reconstructed afterward for an auditor.

Built from a customer requirement

The solution grew out of work with The Ohio State University Wexner Medical Center. The academic medical center was already running Gluware to automate its network and had built visibility into its IoMT fleet. However, remediation was still being coordinated by hand across teams and systems that were never designed to work together. These workflow constraints meant known vulnerabilities stayed open longer than anyone wanted.

Siji Atekoja, Deputy CIO and CTO, saw that the platform his teams already used to change the network safely could carry a medical device the rest of the way from a published CVE to a patch applied, approved, and on the record. Gluware and Ohio State built that path together by connecting the medical center’s existing device inventory to automated vulnerability matching, patch identification, and change-controlled execution. That work became Gluware IoMT Exposure Management.

The post Gluware Extends Its Automation Platform Beyond the Network to Connected Medical Devices appeared first on ITDigest.

Healthcare delivery organizations are constantly under the strain of escalating regulatory requirements, rising security burdens, and disaggregated software stacks that pull care delivery teams out of their core work. Typical managed service providers give off the shelf IT support. Anatomy IT’s Health IT 360 addresses these operational vulnerabilities by combining real-time security monitoring, health system interoperability, and strategic IT governance into a single end-to-end framework.

“Healthcare organizations need more than a checklist of technology gaps,” said Michael Ducsak, Chief Information Security Officer and AI Governance Strategist at Anatomy IT. “Health IT 360 connects all the critical components needed for a healthy IT environment to our client’s business and operational risk allowing for a productive and actionable strategic plan.”

Also Read: Oracle Launches Oncology EHR to Accelerate AI-Driven Cancer Care 

Unifying Clinical IT Operations, Data Security, and Compliance

Health IT 360 brings together specialized tools and healthcare-focused engineers to monitor and optimize an organization’s digital environment around the clock. By combining proactive threat hunting with automated compliance checks, the platform minimizes system downtime and protects sensitive patient health records across distributed medical facilities.

Key functional capabilities and service pillars delivered by Health IT 360 include:

Healthcare focused Managed IT Services: gives around the clock technical help desk for the practices EHR application as well as practice management system and clinical hardware.

Proactive Cybersecurity & Threat Defense: gives 24/7 endpoint protection, threat hunting, and automated vulnerability mitigation to prevent malware and ransomware attacks against a healthcare organization.

Automated HIPAA & Regulatory Compliance: Automates inputs for risk assessment documentation, encryption state, audit logging and other processes required for ongoing adherence to federal healthcare regulation.

Strategic Virtual CIO (vCIO) Leadership: Enables healthcare C-suites to align their strategic virtual CTO (vCIO) efforts by providing expert executive technology roadmapping, budget discussions, and vendor management.

EHR Performance & Workflow Tuning: keeps your essential clinical applications running constantly with the fastest load times, directly alleviating the documentation burden for healthcare providers.

Driving Operational Efficiency and Shielding Healthcare Assets

Health IT 360 will relieve healthcare organizations of the technology burden, hence allowing CEOs, CMOs, and practice managers to free their operations from any constraints, control IT costs, and protect their organizations from IT disruption. The package will enable the healthcare providers to improve the quality of their services and have a robust IT infrastructure.

The post Anatomy IT Launches Health IT 360 to Streamline Managed Care Solutions appeared first on ITDigest.

Also Read: Unchained Labs Launches AI Developability Workcell for Biologics R&D 

Underscoring the strategic relevance of scaling high-throughput genomic data on secure cloud infrastructure, Matt Rabinowitz, PhD, executive chairman of MyOme, stated: “Our collaboration with Oracle is an important step toward making predictive genomics available at global scale. Pairing MyOme’s whole-genome platform with OCI’s global infrastructure lets us identify people at high risk for preventable disease early enough to act on it.” Reaffirming the focus on clinical impact and early intervention, Dan Spellman, group vice president, AI and OCI, Healthcare & Life Sciences at Oracle, added: “By making predictive genomics accessible, clinicians have more information to decide on the right intervention at the right time. Together, we’re driving toward a better standard for healthcare globally.” Ultimately, this partnership provides healthcare organizations worldwide with a secure, enterprise-grade infrastructure to deliver personalized, preventive clinical care that reduces long-term treatment costs and improves patient outcomes.

Read More: MyOme and Oracle Collaborate to Advance Genomic Risk Prediction at Global Scale

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