Machine learning version of Martin-Hopkins equation matches accuracy of original LDL-C calculation
Clinical laboratories may soon be able to use a simplified LDL cholesterol calculation
Clinical laboratories may soon be able to use a simplified LDL cholesterol calculation
Advances could signal changes for clinical laboratories and at-home testing
The technology has moved from niche to practical for routine diagnostics
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