Informatics Articles | Today's Clinical Lab

Leadership in the lab is no longer just about managing complexity. It is about architecting intelligent systems.

AI Adoption and Evolving Leadership in Clinical Laboratories

John Holodnak

Explore the transformative impact of artificial intelligence on executive hiring and its role in the future of lab operations

The cloud-based technology allows pathologists to view and manage slides digitally and use AI to support key steps in the diagnostic process.

Labcorp Expands Digital Pathology Rollout with FDA-Cleared PathAI Platform

LabCorp

Nationwide deployment of AISight® Dx aims to support fully digital workflows and AI-assisted diagnostics across anatomic pathology labs

The pilot program marks a dramatic change.

Medicare Is Experimenting with Having AI Review Claims—a Cost-Saving Measure That Could Risk Denying Needed Care

Grace Mackleby, PhD, Jeff Marr, PhD

A new pilot brings some automated treatment decisions from Medicare Advantage to traditional Medicare

Despite ongoing efforts to improve it, around 90 percent of clinical drug development still fails.

Regulating the Future: How the FDA Is Defining the Role of AI in Clinical Development

Gen Li, PhD, MBA

The FDA is embracing a data-driven, patient-centered approach to clinical trials

One of the most widely recognized issues is that AI models can replicate societal biases and systematically underestimate risk or misclassify disease in historically marginalized populations.

ADLM Advocates for the Federal Government to Support Equitable Healthcare AI

Association for Diagnostics and Laboratory Medicine

The statement calls on Congress and federal agencies to modernize existing laboratory regulations and to implement policies to ensure that AI clinical systems are safe and effective

While AI and automation bring efficiencies, they are not a substitute for human expertise.

Transforming Clinical Lab Workflows with AI and Automation

Ryan Thompson

Laboratories that embrace these innovations today will be better positioned to meet tomorrow’s challenges

BioPathNet is an AI method for analyzing such biomedical knowledge graphs.

New AI Method Analyzes Biomedical Knowledge Graphs to Reveal Diagnostic Targets

Helmholtz Zentrum München

The BioPathNet platform scans biomedical data networks to generate testable hypotheses that could support biomarker discovery and diagnostic development

LeapSpace uses a multi-model AI approach, selecting models based on the task to ensure optimal outcomes and flexibility as AI technologies evolve.

AI Meets Research: LeapSpace Goes Live with 18+ Million Articles

Elsevier

LeapSpace promises AI-assisted insights across 18 million full-text research papers and books, though real-world impact is yet to be measured

The left panel depicts a potential-like landscape, where white streamlines represent the inferred trajectory of cell states across time. Although single-cell RNA sequencing captures only static snapshots of cells, ddHodge reconstructs the patch-worked dynamical structure by connecting many local “nows” into a coherent global picture. The right panel shows a graph-based representation of high-dimensional cell states, on which local geometry is preserved to quantify key dynamical properties such as stability, divergence, and rotational components.

A New Way to Map How Cells Choose Their Fate

Kyushu University

Researchers present an innovative computational method based on modern mathematics to shed light on cell state dynamics and development

Like other tools, when used wisely, AI can enhance scientific work.

Science Journals’ Editor-in-Chief on Responsible Use of AI in Research

American Association for the Advancement of Science (AAAS)

In Science’s first editorial of 2026, editor-in-chief Holden Thorp reflects on thoughtful AI use in scientific publishing

Clinical labs are uniquely positioned to bring emerging scientific discoveries to the forefront, enhancing patient care.

How Clinical Lab Operations Are Evolving for 2026 and Beyond

Misty Phillips, MLS(ASCP)MB, Ellie Mahjubi, MSTM, MBA, Noreen Hong, MBA, Richard Knight, MD, Jane Li

Five experts at Thermo Fisher Scientific share their perspectives on technology, workforce, and operational shifts shaping the future of the clinical lab