A new AI-based approach can predict whether people with type 2 diabetes are likely to develop chronic kidney disease years before symptoms arise, allowing for earlier intervention and treatment.
Promising insights into amyotrophic lateral sclerosis (ALS): New research links characteristic symptoms of the disease, such as motor impairment and respiratory issues, to sleep disorders.
Molecular changes associated with brain inflammation and dementia can be detected in the blood. Researchers want to use this to establish blood tests as an alternative to more costly brain scans.
The discovery of a 'biomarker panel' could have a profound impact on the ability to identify patients at risk of developing pancreatic cancer at an earlier stage, researchers hope.
A sensor, similar to glucose monitoring devices, detects lung cancer biomarkers from a blood sample in just 40 minutes. The technology has potential to identify at-risk patients and tailor treatments.
A new blood test that detects a specific brain protein may help doctors determine the type of a stroke faster and allow them to start safe treatment for people before they get to the hospital.
Improved breast cancer detection, reduced workload for radiologists: The world’s largest prospective study on AI in Germany’s Mammography Screening Program reveals the technology's benefits.
In a new study, researchers have shown, for the first time, that a particular form of MRI, called diffusion tensor imaging, is capable of robustly detecting pre-malignant lesions in the pancreas.
Large language models (LLM) show promise in detecting hospital patients at risk of committing suicide. This could help warn medical staff in time while maintaining the patients' privacy.
A certain type of cells, called aneuploid epithelial cells, are usually associated with breast cancer. However, new research reveals that they can also be found in healthy women.
New research highlights the potential of liquid biopsy in diagnosing pancreatic incidentaloma - lesions which can occasionally signal pancreatic cancer in its earliest stages.
Researchers from China have developed ultrasensitive, nanoscale sensors that in small-scale tests distinguished a key change in the chemistry of the breath of people with lung cancer.
Kidney cancer is relatively rare, so dedicated screening programmes would not be cost-effective. Combined with lung cancer screening, however, this would be much more feasible, a new study shows.
Early detection and management of asthma and COPD is critical. US researchers have developed a deep learning model paired with a wearable sensor patch to automatically detect wheezing sounds.
A new method of analysing the crystals in dehydrated blood could lead to a quicker, cheaper and less painful technique to diagnose, early detect, and monitor prostate cancer.
With enough medical training data, AI can predict health conditions with astounding accuracy. Now, researchers want to use brain scans of the entire Scottish population to have an algorithm early detect dementia.
Endometriosis can cause abdominal pain and cramping before, during and after menstruation, and may lead to infertility. Now, researchers identified promising approaches for better early diagnosis.
Artificial intelligence (AI) can be used to great effect in colonoscopies to spot abnormalities potentially leading to bowel cancer. This is the result of the recently completed COLO-DETECT trial.
Diagnosis and monitoring medical conditions, including cancer, diabetes, heart disease, and infections: In this opinion article, Alix Joseph (Linxens) explores the potential of sweat analysis.
Doctors may soon have a new, high-tech way to diagnose Multiple Sclerosis using special eye scans. This could make it easier and faster for people to find out if they have MS.
Using an advanced scanner, researchers have developed a technology that can detect the earliest changes in the kidney when scar tissue begins to form.
Ductal Carcinoma in Situ (DCIS) often develop into more invasive forms of breast cancer. To predict which DCIS patients are likely to be affected, researchers have developed an analytic AI-based tool.
A new test shows promise in making cervical cancer screening more accessible and less invasive by detecting oncoproteins of the human papillomavirus (HPV) in urine samples.
Measuring temperatures in different face regions could be used to earlier detect chronic illnesses, such as diabetes and hypertension. Researchers now show the potential of an AI-based approach.
A novel blood test shows promise to predict Parkinson's disease in risk patients up to seven years before the typical motor symptoms appear.
