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Why AI still struggles to answer R&D’s most important questions
AI can transform life sciences R&D, but only with connected, traceable scientific knowledge that researchers and AI systems can trust.
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Healthcare
Explore the latest healthcare technology innovations, from telemedicine to AI, transforming patient care and the future of medical services.
Why change management is the real driver of digital transformation
Digital transformation succeeds when organisations prioritise people as much as technology. Jon Pickering explains why effective change management is essential for clinician adoption, operational readiness and lasting success.
Realising AI’s potential for patients takes more than technology
AI is transforming life sciences, but success depends on trusted data, governance and collaboration across clinical research.
You can’t build the future of healthcare research on data you cannot access
AI can transform healthcare research, but only if organisations build the data infrastructure needed to support it at scale.
From theory to practice: how AI is reshaping drug discovery
AI reshaping drug discovery is moving from theory to practice. Here's what life sciences leaders need to get right.
What does first-class innovation look like when there’s no blueprint to follow?
What does first-class innovation look like when there’s no blueprint to follow?
How does embedding AI across drug discovery deliver real outcomes?
Discover how embedding AI across drug discovery accelerates timelines and integrates R&D workflows to drive real outcomes in pharmaceutical innovation.
Women have been failed by sleep research for decades, here’s what will actually fix it.
Digital trials and real-world data could transform women sleep research and improve sleep apnoea diagnosis rates.
Healthcare AI must run on trust. Governance is how you earn it.
As Healthcare AI moves beyond pilots, trust and governance are emerging as the foundations of safe, scalable adoption.
The lab is digital. The data still isn’t connected.
Digital labs are fragmented. Scientists lose time moving data. To benefit from AI, life sciences must shift to unified infrastructure.
Why a closed-loop approach is the only way AI can deliver true value to life sciences R&D
Discover why current AI efforts in biotechnology often fall short, and explore how a closed-loop approach to data generation is the essential path to unlocking real value in Life Sciences R&D.
Why digital trust is the next frontier in healthcare transformation
As healthcare digitisation advances, digital trust becomes the next critical frontier. This article explores how data integrity, transparency, auditability, and governance are essential to sustaining confidence in NHS systems.
IBM, Cleveland Clinic and RIKEN simulate 12,635-atom protein using quantum computing
Landmark quantum simulation! IBM, Cleveland Clinic, & RIKEN modeled a 12,635-atom protein, marking a major step for biology & drug discovery.
From digital literacy to digital intuition: the importance of rethinking clinician training
Healthcare is moving beyond digital literacy. This article explores why clinician digital intuition is essential to safely interpret AI insights and improve patient care.
Why digital transformation in the NHS is more than going paperless
NHS digital transformation goes beyond eliminating paper. This article explores how data access, governance, and workflows shape better clinical decisions.
Intel unveils Core Series 2 processor with P-cores for new healthcare edge AI suite
Intel has announced the launch of Intel Core processor Series 2 for mission-critical industrial edge applications and its new Edge AI suite for health and life sciences.
Loyalty cards and your health data: a magical mix or dangerous to all?
A Clinical Practitioner gives his take on a project that uses data collected from supermarket and pharmacy loyalty cards to diagnose cancer earlier - or at least, that's the hope
3 tactics to protect patient data as AI makes a healthcare push
AI is transforming healthcare, but weak document workflows create serious compliance and patient data risks. Three tactics show how to protect trust at scale.
Amazon’s Health Insights feature can interpret your blood tests for you – but only if it’s easy
Amazon One Medical has begun offering a new Health Insights feature, which looks at 50 different parameters from users' blood tests and then offers advice
The forgotten interface: digitising the human-data interaction in healthcare
How digital healthcare interfaces shape clinical thinking, decision making and patient outcomes - and why the NHS must redesign how humans interact with data.