Generative AI Struggles with Clinical Reasoning
Research shows that large language models lack reasoning skills required for clinical decision-making
Research shows that large language models lack reasoning skills required for clinical decision-making
The two assays identify threats prior to prostate cancer being diagnosed and after it has undergone extensive treatment, respectively
Platform enhances the interpretability of CBC-based machine-learning models
Current assays often miss diagnoses in the early stages of the disease, delaying treatment
FDA-approved tests like Intellisep and TriVerity demonstrate potential for early sepsis diagnosis
Clinical lab professionals will want to note the pros and cons each technology brings
Model links tumor morphology with multiple genetic alterations, offering faster diagnostics
The intent of the at-home testing is to identify and treat issues such as postpartum depression and vitamin deficiencies
The company is offering whole panels and more than 1,000 assays in total to support the new products
Teal Health, the company manufacturing and distributing the test, says thousands of women are already on a waiting list for the assay
Unharmonized and unstandardized test results can affect patient care. Here are steps that clinical labs can take to resolve this problem