Informatics Articles | Today's Clinical Lab

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

Bladder cancer is among the most common and most expensive cancers to monitor, with an estimated 83,190 new US cases in 2024 and 800,000 living with the disease nationwide.

Cellens Secures $6.5M to Advance AI and Mechanobiology-Based Bladder Cancer Test

Cellens

The test leverages cellular biophysics and machine learning to offer a high-sensitivity alternative to traditional urine-based assays

Current genetic analysis tools can estimate whether a mutation is harmful, but they cannot determine the type of disease it might cause.

New AI Tool Identifies Not Just Genetic Mutations, but the Diseases They May Cause

Mount Sinai School of Medicine, Mount Sinai Hospital

The method, called V2P, uses advanced machine learning to link genetic variants with their likely phenotypic outcomes

The funded initiative will combine advanced AI, natural language processing, and secure AWS cloud infrastructure to provide access to contributions from institutions across Europe and Asia in their native languages.

AACR Project GENIE Receives 2025 AWS Imagine Grant to Advance Cancer Genomics Data for Clinical Research

American Association for Cancer Research

AI-powered, multilingual cancer research pipeline will accelerate the pace of global data curation and expand access to real-world clinical data

2026 Clinical Lab Automation Digital Forum

Today's Clinical Lab

Join Today's Clinical Lab and our experts for our Clinical Lab Automation Digital Forum on June 24, 2026

2026 AI in the Clinical Lab Digital Forum

Today's Clinical Lab

Join Today's Clinical Lab and our experts for our AI in the Clinical Lab Digital Forum on April 1, 2026

Some 84 percent of researchers say they have used AI tools in their work but only 22 percent trust existing tools.

Elsevier Launches LeapSpace, an AI Workspace to Accelerate Lab Research

Elsevier

New platform combines millions of peer-reviewed studies with transparent AI tools to help researchers move from curiosity to discovery faster

In place of chemical H&E staining, ClearStain™ can preserve tissue for additional downstream assays, improve tumor purity, and lower sequencing failure rates.

AI-Powered Virtual Staining Brings Pathologists Closer to the Sequencing Bench

Pictor Labs

New virtual staining solution enhances molecular diagnostics performance, preserves tissue, and accelerates turnaround times

Turning general-purpose AI into a reliable scientific partner, however, required significant customization from the Wang lab.

AI-Powered Microscope Ushers In New Era of Autonomous Research

Duke University

A new AI optical microscope analyzes 2D materials as precisely as human experts

Scientist examining a blood sample in a laboratory focused on sample management processes

Transforming Sample Management to Advance Better Science

Sapio Sciences

How modern labs are improving efficiency, ensuring traceability, and strengthening trust in their data

Rethinking Your Sample Management System

Sapio Sciences

Evaluate your sample management system and identify opportunities to improve efficiency and audit readiness

The paper highlights five opportunities for AI to extend the healthcare workforce and improve care for older adults.

HealthFORCE, AAPA, and West Health Release 'Aging Well with AI,' First in a 2 Part Series on AI and the Healthcare Workforce

West Health Institute

Report outlines five use cases for artificial intelligence to support older adults and calls on policymakers to act

The introduction of electronic data capture (EDC) has streamlined workflows while giving sponsors cleaner data and reducing reconciliation challenges.

The Real-World Points of Value for Site-To-Lab Data Digitalization

Kelli Aufderheide, Gavin Hershaw

While most clinical trial processes have gone digital, site-to-lab data capture still lags behind. Here’s why that matters and what’s changing

Proscia's Aperture allows clinical labs to share data for drug discovery

With Release of Aperture, Proscia Brings Clinical Labs Closer to Drug Discovery

Scott Wallask, BA

AI analysis of pathology results could result in new revenue streams for laboratories

The Mount Sinai researchers trained AI models to quantify disease on a spectrum, offering more nuanced insight into how disease risk plays out in real life.

Mount Sinai Researchers Use AI and Lab Tests to Predict Genetic Disease Risk

Mount Sinai School of Medicine, Mount Sinai Hospital

AI model uses common data to gauge risk from rare genetic variants

Each year, more than 475,000 Americans are diagnosed with Lyme disease—a number that is only expected to climb due to climate change expanding the range of areas where ticks can live.

Breaking Research at ADLM 2025: AI Poised to Revolutionize Lyme Disease Testing, Treatment

Association for Diagnostics and Laboratory Medicine

The findings spotlight the potential of AI to make a profound, positive difference in people’s lives

Roche Diagnostics Showcases AI, Digital Tools, and Clinical Innovation at ADLM 2025

Roche

At the ADLM 2025, Roche highlights advances in diagnostics, including digital health solutions, mass spectrometry, and expanded access to testing across care settings

Though AI has become nearly ubiquitous, from smartphones to chatbots to self-driving cars, its impact on health care so far has been relatively low.

AI in Health Care Could Save Lives and Money—but Change Won’t Happen Overnight

Turgay Ayer, PhD/MSc

Rapid diagnosis is one of the big promises of artificial intelligence for use in health care