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Using ripretinib and surgery to manage recurrent gastrointestinal stromal tumor

A new case report was published in Oncoscience (Volume 10) on September 20, 2023, entitled, "Multi-disciplinary management of recurrent gastrointestinal stromal tumor harboring KIT exon 11 mutation with the switch-control kinase inhibitor ripretinib and surgery."

3 Nov 2023

New treatment breakthrough: Pyrotinib combo demonstrates remarkable efficacy for HER2 positive metastatic breast cancer

The safety and efficacy of treating human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer with pyrotinib.

2 Nov 2023

New lung cancer screening guideline expands eligibility to save more lives

Today, the American Cancer Society (ACS) released an update of its lung cancer screening guideline to help reduce the number of people dying from the disease due to smoking history.

1 Nov 2023

Decoding how the brain understands sentences in real-time

Researchers examine how the brain processes language by using intracranial recordings in epilepsy patients during reading tasks, revealing the neural networks responsible for semantic integration and distinguishing between semantic coherence and task-based referentiality. The study pinpoints specific brain regions activated during sentence processing and offers new insights into the spatiotemporal dynamics of language understanding.

29 Oct 2023

CT-measured VAT volume key in assessing diabetes risk in prediabetic individuals

Whether visceral obesity assessment in individuals with prediabetes could help predict the future risk of developing diabetes.

24 Oct 2023

AI-powered software can provide MRI-quality brain images from CT scans

In certain cases, a new method can provide as much information from brain images taken with computed tomography (CT) as images captured with magnetic resonance imaging (MRI).

17 Oct 2023

Quality of ultrasound scans of the liver and kidneys found to be lower in obese patients

Ultrasound of the abdominal organs is a central diagnostic tool and is recommended as the first-line approach for many medical conditions.

16 Oct 2023

Long-term lung issues and lower quality of life plague COVID-19 survivors, new study warns

New research in Scientific Reports reveals that COVID-19 survivors, especially those who had severe or critical illness, face long-term lung complications and a reduced quality of life. The study recommends 6-monthly pulmonary function tests for these survivors to monitor for chronic lung damage.

15 Oct 2023

UCLA receives grant to improve liquid biopsy for early lung cancer detection

A team of investigators from the UCLA Jonsson Comprehensive Cancer Center and the UCLA School of Dentistry received a five-year $4.6 million grant from the National Cancer Institute to develop and improve liquid biopsy technologies for the early detection of lung cancer -; the leading cause of cancer death in both men and women in the U.S.

13 Oct 2023

Scientists identify nearly a dozen genes responsible for coronary artery calcification

An international team of scientists has identified nearly a dozen genes that contribute to calcium buildup in our coronary arteries that can lead to life-threatening coronary artery disease, a condition responsible for up to one in four deaths in the United States.

11 Oct 2023

Owlstone Medical recruits first patient in phase 2 clinical trial for the early detection of lung cancer through breath biopsy

Owlstone Medical, the global leader in Breath Biopsy® for applications in early disease detection and precision medicine, today announced recruitment of the first patient into its EVOLUTION Phase 2 clinical trial following successful achievement of key safety and proof of concept milestones in Phase 1.

From Owlstone Medical Ltd 10 Oct 2023

New model for lung cancer screening eligibility more accurate than current USPSTF method

A new study found that an alternative model to identify patients with lung cancer eligible for screening was more accurate than the currently used method based on the United States Preventive Services Task Force (USPSTF) criteria.

9 Oct 2023

New workflow could significantly reduce wait time for urgent palliative radiation therapy

Using previously taken diagnostic computed tomography (CT) scans in place of CT simulation scans to plan simple palliative radiation treatments can substantially reduce the time some people spend waiting for urgent treatment, improving the patient experience, a new study suggests.

4 Oct 2023

Can AI outperform radiologists in detecting lung issues? New study weighs in

New study in Radiology evaluates the diagnostic accuracy of four AI tools in detecting common acute findings on chest radiographs. While AI tools showed moderate to high sensitivity and strong negative predictive values, they had higher false-positive rates compared to traditional radiology reports.

28 Sep 2023

One gene variant could be a shield against severe COVID-19 lung damage

Researchers identify a specific genetic variant, rs2204985, linked to less severe lung involvement and a stronger immune response in COVID-19 patients with severe pneumonia. The study suggests that understanding this genetic marker could help identify high-risk individuals and enhance strategies for prevention and treatment.

25 Sep 2023

Cough analysis as a tool to predict severe pneumonia in COVID-19 patients

While most individuals impacted by COVID-19 experience milder symptoms and recover within a few weeks, the global pandemic caused by the SARS-CoV-2 virus continues to pose a significant health challenge.

21 Sep 2023

AI slashes stroke treatment time and saves lives in new study

AI-driven software significantly speeds up the detection of large vessel occlusion in stroke patients, reducing treatment time and potentially improving outcomes. The automated system was linked to a 60% drop in mortality rates in a clinical trial across four comprehensive stroke centers.

21 Sep 2023

Machine learning algorithm flags unruptured cerebral aneurysms missed in routine clinical care

Unruptured cerebral aneurysms of sizes and locations that require attention may be frequently missed in routine clinical care, but a machine learning algorithm could minimize missed care opportunities, according to a new study from UTHealth Houston.

13 Sep 2023

Machine learning shows promise for coronary artery disease risk assessment

Researchers investigated the performance of a machine learning-based model in evaluating radiomic features to diagnose coronary artery disease.