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Biomarkers – News and Features

A prototype electronic sensor.

Discovery Could Pave the Way for Universal Automated Drug Discovery

Rice University synthetic biologists have found a way to piggyback on the glucose monitoring technology used in automated insulin dosing systems and make it universally applicable for the monitoring and dosing of virtually any drug.
A 3D model of a human brain.

Abnormal Brain Structures Linked to Developmental Language Impairments

A rigorous analysis of numerous studies concludes that a part of the brain traditionally associated with movement is abnormal in children with developmental language impairments, according to Georgetown University Medical Center neuroscientists.
A digital illustration of a DNA double helix.

Genetic “Dark Matter” Could Help Monitor Cancer

Researchers from the Johns Hopkins Kimmel Cancer Center have developed a machine-learning approach that identifies these sequences in both tumor DNA and cell-free DNA (cfDNA) that are shed into the blood.
A person with military boots and a rucksack.

Veterans with Blast Injuries Show Spinal Fluid Changes Similar to Alzheimer's

US veterans of the wars in Afghanistan and Iraq who suffered mild traumatic brain injury from exposure to explosive blasts were found to have changes in cerebrospinal fluid proteins that are typically seen in people who develop Alzheimer’s disease.
Monkey pox virus.

Mpox DNA Detectable in the Body up to 4 Weeks After Symptoms Begin

DNA from the mpox virus can be found in different parts of the body for up to four weeks after symptom onset, according to a study led by researchers at Unity Health Toronto
A 3D model of human lungs.

Machine Learning Predicts Lung Cancer Spread to Brain

Scientists trained a machine-learning algorithm to predict accurately brain metastasis using biopsy samples from early-stage non-small cell lung cancer patients.
A man yawns.

Blood-Based Marker Detects Sleep Deprivation

A blood test that can accurately detect when someone has not slept for 24 hours has been developed by researchers.
A clinician holds an X-ray of a person's chest.

AI Model “Maps” Medical Images To Diagnose Disease

An artificial intelligence model can accurately identify tumors and can draw a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.
Brightly colored lung cancer cells.

AI Outscores Pathologists Predicting Lung Cancer Spread

AI algorithms have been used to assess whether lung cancer will spread, and they outperformed clinicians in a small pilot study.
A burning cigarette on a ledge.

Epigenetic Markers of Smoking Are Consistent Across Racial and Ethnic Groups

Scientists from the Keck School of Medicine of USC conducted one of the largest multiethnic studies to date of smoking and epigenetics, research that could eventually lead to better ways to predict smoking-related disease risk.