Novel Insights on COVID-19 Vaccines and Virus Evolution, AI in the Clinic, and Miniaturization of Diagnostic Platforms Explored at AACC 2021
|
By LabMedica International staff writers Posted on 29 Sep 2021 |

At the 2021 AACC Annual Scientific Meeting & Clinical Lab Expo, laboratory medicine experts presented the cutting-edge research and technology that is revolutionizing clinical testing and patient care.
From September 26-30 in Atlanta, Georgia, the meeting's 200-plus sessions delivered insights on a broad range of timely healthcare topics. Highlights of these included discussions exploring COVID-19 vaccines and virus evolution, research lessons learned from the pandemic, artificial intelligence (AI) in the clinic, clinical translation of engineered microsystems, and improvements to treatments for cystic fibrosis. Additionally, at the Clinical Lab Expo, more than 400 exhibitors displayed innovative technologies that are just coming to market in every clinical lab discipline.
COVID-19 Vaccines and Virus Evolution. SARS-CoV-2 is an RNA virus that easily mutates, and mutants that are not suppressed by the immune responses generated from prior infection or vaccination can then become dominant strains. In this plenary session, Dr. Margaret Liu, CEO of PAX Therapeutics and Chairman of the Board of the International Society for Vaccines, shed light on whether the vaccines to fight this virus need to be able to neutralize newly arising strains, or if SARS-CoV-2 vaccines need to be remade annually like the flu vaccine to try to correspond to the current clinical circulating strains.
COVID-19 Research: Lessons Learned. The COVID-19 pandemic led to enormous scientific progress in a short time, and the development of the vaccines and the understanding of the virus happened at unprecedented rates and with great success. However, the effects of the pandemic have been dramatic on the scientific workforce, on the speed with which publishing has occurred, and on the ability to build public trust in science. In this plenary session, Holden Thorp, PhD, Editor-in-Chief, Science Family of Journals, addressed the need for the scientific community to come together to face the enormous challenges posed by the need for greater trust in science in the public in the U.S. and beyond.
AI in the Clinic. In the meeting's opening keynote, Dr. Regina Barzilay, School of Engineering Distinguished Professor for AI and Health at the Massachusetts Institute of Technology, explored the fact that, by nature, many traditional clinical tasks such as risk assessment, prediction of treatment efficacy, and forecasting patient trajectory can be thought of as prediction problems. Given sufficient amounts of patient data with outcomes, a machine learning model can make predictions which often exceed human experts in accuracy. However, to make these tools more applicable in the clinical setting, there is a need to augment AI models with the ability to explain their decisions to humans, and assess their uncertainty.
Changing Lives of Patients with Cystic Fibrosis. Over the past 30 years, there has been a remarkable expansion in understanding of the genetic basis, molecular biology, and pathophysiology of cystic fibrosis resulting from loss of cystic fibrosis transmembrane regulator (CFTR) protein function. The most extraordinary accomplishment has been the international effort of patients, families, clinicians, scientists, and non-profit foundations to translate this scientific knowledge into approved therapies, known as CFTR modulators, that are transforming the lives of individuals with cystic fibrosis. This plenary session included two perspectives: that of Bonnie Ramsey, MD, Endowed Chair in Cystic Fibrosis Research at the University of Washington School of Medicine, who participated in the clinical development of this class of drugs, and that of Caley Mauch, a person living with cystic fibrosis, who described the impact of this therapy on daily life.
Miniaturization of Diagnostic Platforms. In this, the meeting's closing keynote, Dr. Wilbur A. Lam, W. Paul Bowers Research Chair and Chief Innovation Officer, Pediatric Technology Center at Emory University/Georgia Institute of Technology, discussed microsystems-based COVID-19 diagnostics and his own lab's recent advances in miniaturization of diagnostic platforms, with a focus on hematology and hemostasis/thrombosis.
"If the pandemic has shown us anything, it is laboratory medicine's capacity to adapt to changing healthcare circumstances and use the field's scientific insights to improve quality of life. This capacity is constantly growing, with cutting-edge diagnostic technologies emerging every day in areas as diverse as SARS-CoV-2, artificial intelligence, cystic fibrosis, and miniaturization," said AACC CEO Mark J. Golden.
Latest Technology News
- AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
- Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing
- Noninvasive Sputum Test Detects Early Lung Cancer
- New AI Tool Enables Rapid Treatment Selection in Pediatric Leukemia
- Rapid Biosensor Detects Drug Sensitivity in Breast Tumors
- Breakthrough Mass Spectrometry Design Could Enable Ultra-Low Abundance Detection
- Online Tool Supports Family Screening for Inherited Cancer Risk
- Portable Breath Sensor Detects Pneumonia Biomarkers in Minutes
- New Electronic Pipette Enhances Workflows with Touchscreen Control
- AI Model Outperforms Clinicians in Rare Disease Detection
- AI-Driven Diagnostic Demonstrates High Accuracy in Detecting Periprosthetic Joint Infection
- Blood Test “Clocks” Predict Start of Alzheimer’s Symptoms
- AI-Powered Biomarker Predicts Liver Cancer Risk
Channels
Clinical Chemistry
view channel
Blood Test Predicts Alzheimer Disease Risk Before Imaging Changes and Symptoms
Alzheimer's disease often advances silently for years, making timely risk stratification difficult in routine practice. Current approaches to detect pathology can involve lumbar puncture or positron emission... Read more
Study Finds ApoB Testing More Effective Than LDL for Guiding Lipid Therapy
Routine blood tests that measure low-density lipoprotein (LDL), commonly known as “bad” cholesterol, are widely used to guide lipid-lowering therapy, but they do not always provide a complete picture of... Read more
AI-Enabled POC Test Quantifies Multiple Cardiac Biomarkers
Cardiovascular diseases are a leading cause of death, responsible for nearly 20 million deaths each year. Timely triage of myocardial infarction and heart failure hinges on rapid cardiac biomarker measurement,... Read moreNext Generation Automated Analyzers Increase Throughput for Clinical Chemistry and Electrolyte Testing
Clinical laboratories continue to face staffing shortages, limited space, and growing test volumes that pressure chemistry and electrolyte workflows. Maintaining rapid turnaround times increasingly depends... Read moreMolecular Diagnostics
view channel
Blood-Based Epigenetic Signals Enable Osteosarcoma Disease Monitoring
Osteosarcoma is a rare but aggressive pediatric bone cancer where recurrence and metastasis remain difficult to detect early. Imaging-based surveillance can miss small lesions and exposes children to repeated... Read more
Host–Virus Genetic Interactions Drive Nasopharyngeal Cancer Risk
Epstein–Barr virus (EBV) infects more than 95% of adults worldwide, yet only a small fraction develops EBV‑associated cancers such as nasopharyngeal carcinoma. Explaining this divergence requires understanding... Read moreHematology
view channel
Routine Blood Test Parameters Link Anemia to Cancer Risk and Mortality
Anemia detected in routine care can signal underlying pathology and is frequently encountered in adults. Because it is defined by hemoglobin levels below the normal range, it is often evaluated with red... Read more
Prognostic Tool Guides Personalized Treatment in Rare Blood Cancer
Chronic myelomonocytic leukemia (CMML) is a rare blood cancer in which acquired genetic mutations in bone marrow stem cells drive disease. Stem cell transplantation is the only curative option but carries... Read moreImmunology
view channel
Study Finds Influenza Often Undiagnosed in Winter Deaths
Seasonal influenza drives substantial excess mortality, yet its contribution is often obscured when infections go undiagnosed near the time of death. Many deaths occur outside hospitals or in older adults... Read moreCombined Screening Approach Identifies Early Leprosy Cases
Leprosy remains a significant public health concern, with more than 200,000 new cases reported globally each year and early disease often escaping routine laboratory detection. In its initial phase, bacterial... Read moreMicrobiology
view channel
Syndromic Panel Enables Rapid Identification of Bloodstream Infections
Bloodstream infections require rapid identification of causative pathogens and resistance determinants to guide therapy, yet laboratories often face pressure to deliver clinically relevant results quickly... Read more
RNA-Based Workflow Identifies Active Skin Microbes for Dermatology Research
Human skin carries diverse microbial communities that influence barrier function and inflammation, yet identifying which organisms are metabolically active has been challenging. DNA-based surveys catalog... Read more
Cost-Effective Sampling and Sequencing Workflow Identifies ICU Infection Hotspots
Intensive care units face persistent threats from hospital-acquired infections, increasingly driven by drug-resistant bacteria. Rapidly pinpointing environmental reservoirs and transmission hotspots remains... Read morePathology
view channel
Biomarker Predicts Immunotherapy Response and Prognosis in Colorectal Cancer
Colorectal cancer is common and often lethal, and therapeutic decision-making is complicated by heterogeneous tumor microenvironments. Immunotherapy benefits only a small subset of patients, around 5%,... Read more
Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates
Antibody-drug conjugates (ADC) are reshaping oncology, yet scalable biomarkers that reliably predict which patients will benefit remain limited as treatment regimens and combinations grow more complex.... Read moreTechnology
view channel
AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
Advanced bowel cancer remains difficult to treat, and many patients receive targeted therapies that do not help them but still cause harm. Clinicians need reliable ways to identify likely responders before... Read more
Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing
Pre-analytical variation remains a leading source of inconsistent molecular test results and added costs, particularly when laboratories rely on multiple instruments and protocols. Standardizing nucleic... Read moreIndustry
view channel
Partnership Expands Ultrasensitive WGS Assay for for Hematologic Malignancies and MRD Monitoring
Tempus AI and Predicta Biosciences announced the commercial expansion of a co-branded whole‑genome sequencing assay GenoPredicta, which is intended for comprehensive genomic characterization of hematologic... Read more







