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AACC.org // Science & Research // Data Analytics in Laboratory Medicine // More Data Analytics Resources
Machine Learning to Assist in Large-Scale, Activity-Based Synthetic Cannabinoid Receptor Agonist Screening of Serum Samples [Clinical Chemistry]
Clinical Decision Support for Laboratory Testing [Clinical Chemistry]
Deep Convolutional Neural Networks Implementation for the Analysis of Urine Culture [Clinical Chemistry]
Prediction of the Values of CRP, eGFR, and Hemoglobin in the Follow-Up of Renal Cell Carcinoma Patients after (Cryo)Surgery Using Machine Learning Algorithms [Journal of Applied Laboratory Medicine]
A Novel Approach to Improve Accuracy of CYP2D6 Enzyme Activity and Drug Response Predictions [Clinical Chemistry] Listen to the podcast
How Can We Ensure Reproducibility and Clinical Translation of Machine Learning Applications in Laboratory Medicine? [Clinical Chemistry] Listen to the podcast
Evolving Applications of Artificial Intelligence and Machine Learning in Infectious Diseases Testing [Clinical Chemistry]
Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes [Clinical Chemistry]
CloneRetriever: An Automated Algorithm to Identify Clonal B and T Cell Gene Rearrangements by Next-Generation Sequencing for the Diagnosis of Lymphoid Malignancies [Clinical Chemistry]
Achieving Expert-Level Interpretation of Serum Protein Electrophoresis through Deep Learning Driven by Human Reasoning [Clinical Chemistry]
Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review [Clinical Chemistry]
Rise of the Machines: Artificial Intelligence and the Clinical Laboratory [Journal of Applied Laboratory Medicine]
A Machine Learning Approach for the Automated Interpretation of Plasma Amino Acid Profiles [Clinical Chemistry]
AI Analysis of Blood Samples Offers Glimpse of Future Severity, Progression in Neurodegenerative Diseases [CLN Stat]
Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning [Clinical Chemistry]
Deus Ex Machina? Predicting SARS-CoV-2 Infection from Lab Tests Using Machine Learning [Clinical Chemistry] Listen to the podcast
Hidden in Plain Sight: Machine Learning in Acute Kidney Injury [Clinical Chemistry]
How Underspecification Undermines Artificial Intelligence [CLN Stat]
Machine Learning for the Biochemical Genetics Laboratory [Clinical Chemistry] Listen to the Podcast
A Machine Learning Approach to Identify a Circulating MicroRNA Signature for Alzheimer Disease [Journal of Applied Laboratory Medicine]
Answering Unanswerable Questions in the Clinical Laboratory with Data Warehouses [Clinical Chemistry]
Artificial Intelligence Pipeline Speeds Early Diagnosis of Critically Ill Newborns [CLN]
Artificial Intelligence: Early Warning System for Acute Kidney Injury [CLN Stat]
Big Data Used to Delineate Four Sepsis Phenotypes [CLN]
Deep Dive Into Data Analytics [CLN Stat]
Machine Learning for Clinical Chemists [Clinical Chemistry]
Machine Learning to Decode Genomics [Clinical Chemistry]
Machine Learning-based Cyst Fluid Analysis Bests Standard-of-Care in Distinguishing Benign, High-risk Pancreatic Cysts [CLN]
Using Machine Learning to Identify True Somatic Variants from Next-Generation Sequencing [Clinical Chemistry]
Validation and Regulation of Clinical Artificial Intelligence [Clinical Chemistry]
Contemporary Challenges in Clinical Flow Cytometry: Small Samples, Big Data, Little Time [Journal of Applied Laboratory Medicine] Listen to the podcast
Untangling Laboratory Data's Twisted Journey [CLN]
Discovering Cross-Reactivity in Urine Drug Screening Immunoassays through Large-Scale Analysis of Electronic Health Records [Clinical Chemistry]
In Reply: COVID-19: An Argument for Rapid Access to Laboratory Data Warehouses [Clinical Chemistry]
Data as a Collaboration Tool [CLN Stat]
Data-sharing Essential to Better Understanding, Combating Pediatric Cancer [CLN Stat]
Reference Intervals Generated by Electronic Medical Record Data Mining with Clinical Exclusions: Age-Specific Intervals for Thyroid-Stimulating Hormone from 33038 Euthyroid Patients [Journal of Applied Laboratory Medicine]
Reproducible Research and Reports with R [Journal of Applied Laboratory Medicine] Listen to the podcast
Retrospective Data Analysis of the Influence of Age and Sex on TPMT Activity and Its Phenotype–Genotype Correlation [Journal of Applied Laboratory Medicine]
A Bounty of Data For Labs [CLN Stat]