LIMS, Data Systems & Digital Workflows

|2 min read

The UK Govt Approves Using Digital Pathology for Cancer Screening

A multicenter study compared the analyses of cancer screening sample slides from digital pathology with light microscopy
|2 min read

Detecting Cancers Earlier Using ML and Fragmentomics

The innovative approach could help clinicians identify cancer in patients sooner and using smaller blood draws
|1 min read

An AI-Based, User-Friendly Software Accurately Predicts Diseases

Novel software analyzes the human genome to identify disease-causing biomarkers
|2 min read

Predicting Treatment Resistance in Tumors Using ML Models

There are many paths to cancer resistance; AI can decode them all simultaneously
|3 min read

The “Reactome” May Accelerate AI-Based Drug Development

Per the first author, "the reactome could change the way we think about organic chemistry."
|3 min read

Predictive Algorithms Not Robust Enough for Clinical Research

Algorithms need to be built and trained on real-world inconsistencies and shared data sets to be generalizable
|4 min read

New Digital Pathology Network Aims to Benefit Smaller Clinical Labs

Nuance and Paige say their new consultation network will also generate revenue for larger laboratories
|4 min read

Deep Learning Models Find a New Class of Antibiotics

These antibiotics could kill methicillin-resistant Staphylococcus aureus, a notorious bacterium that causes chronic infections and death
|2 min read

How Labs Can Use AI and ML to Improve Operational and Clinical Data Quality

Expertise combined with AI/ML can help health systems proactively solve challenges and improve quality of care
|2 min read

Antidiabetic Drug May Reduce Colorectal Cancer Incidence

Colorectal cancer is the second-leading cause of cancer mortality with 52,550 deaths per year
|2 min read

New Digital Pathology Network to Empower Experts, Labs, and Patients

Pathologists can share images and consult a network of experts to deliver timely, cost-effective patient care

|2 min read

Humans Beat AI in Making Personalized Medicine Decisions

The study highlights the limits of large language models in precision oncology and the scope for improvement
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