Technology

Regeneron and Parabilis Medicines partner to discover and develop antibody-Helicon conjugates, aiming to create a new class of therapies capable of targeting historically “undruggable” intracellular proteins.

Trialynx’s CEO discusses the benefits of using AI for trial design and how to find the AI companies doing the most promising work.

How existing technologies and approaches such as targeted AI deployment can help make prior authorization workflows more efficient.

Agentic AI is reshaping pharma market entry by enabling real-time, data-driven insights that allow companies to ask more complex strategic questions and act faster — with greater precision.

Jamie Singer and Matt Flora discuss how cybersecurity threats in pharma are evolving beyond ransomware to include data extortion, supply chain attacks, and AI-driven risks.

Data-driven decision-making, evolving access models, and accelerating adoption of AI create a complex commercialization landscape.

Inizio launches integrated hub services model to streamline patient access, reimbursement, and adherence, reflecting a broader industry shift toward data-driven, end-to-end patient support strategies.

Accurate and reliable data is essential to provide leaders with the right information to power these systems.

Organizations must build a strong foundation that anchors AI deployments in critical areas.

Recent breakthroughs in artificial intelligence allow specialized language models to automatically extract critical information from thousands of complex drug labels in minutes instead of days.

Companion diagnostics are reshaping precision oncology, but clinical adoption continues to lag behind scientific progress due to regulatory, operational and reimbursement barriers.

The agentic model is emerging as a strategic tool to compress analysis timelines, coordinate cross-functional teams and surface competitive intelligence in real time.

Reliable, domain-specific AI models grounded in validated clinical evidence are emerging as essential to safely scaling generative AI across healthcare applications.

In Part 2 of our podcast video episode with ZS CEO Pratap Khedkar, he breaks down pharma's need to move beyond AI pilots to scalable impact—and how companies can "go from informing to solving" while navigating trust, regulation, and a rapidly shifting patient dynamic.

Boring AI operates quietly in the background, embedded deep within hospital EPR workflows, capturing structured, multimodal clinical data in real time at the point of care.

By correlating behavior data with performance outcomes, it becomes possible to predict what actually drives results.

Faruk Capan provides insights into the future of proprietary AI platforms.

How organizations can gain an edge in the enterprise transformation to unified analytics that's accelerating across pharma.

Conversational AI is pushing engagers to prioritize clear, explainable guidance as patients and clinicians delegate understanding to chatbots.

Large language models and natural language processing are reshaping drug safety surveillance by enabling automated adverse event detection, large-scale analysis of regulatory labeling data, and faster, citation-grounded safety assessments while maintaining human oversight and regulatory compliance.

As AI rapidly reshapes drug development and clinical operations, industry leaders say transparency, governance, and strong data foundations will determine whether the technology accelerates innovation or stalls under regulatory and operational pressure.

The gap between AI’s abilities and how people use could be about capability, but it’s also about confidence, belief and mindset.

As the AI-first era matures, life sciences leaders must pivot from narrow, task-specific models toward integrated, interpretable frameworks that transform biological complexity into a sustainable competitive advantage.

As the pharma industry continues to experiment with AI implantation, certain areas are showing more promise than others.

Most medical digital pilots are designed for success in controlled conditions.