November 29th 2021, 3:20pm
A small study found a correlation between age and small vessel disease risk that suggest the importance of regular brain MRI monitoring in patients with Fabry.
November 27th 2021, 3:30pm
Further investigation on the pathogenesis and treatment of patients with schistosome-associated pulmonary arterial hypertension (Sch-PAH) may lead to improved symptoms and higher rates of survival.
November 27th 2021, 12:20pm
Next-generation sequencing (NGS) and the use of prediction tools in 2 patients with a rare form of metastatic breast cancer revealed mutations in malignant phyllodes tumors that are often detected in other advanced cancers, providing insight into potential therapeutic targets for these patients.
November 26th 2021, 9:26pm
Sensory nerve action potential amplitudes decreased as patients aged in a cohort of spinal muscular atrophy (SMA) type 1 patients compared with a healthy, age-matched control group.
November 25th 2021, 7:30pm
Better risk stratification can help prioritize patients with hepatocellular carcinoma on the transplant waitlist who have higher risk disease.
November 24th 2021, 9:01pm
All-trans retinoic acid and arsenic trioxide used together can let children avoid treatment with convention chemotherapy, which has more adverse effects.
November 24th 2021, 3:00pm
The high cost of specialty drugs makes it important to use companion diagnostics and other tests to make sure the drug is going to the right patient, said George Van Antwerp, MBA, managing director, Deloitte Consulting.
November 24th 2021, 12:00pm
The data set included 177 samples from polycythemia vera, essential thrombocytopenia, primary myelofibrosis, and healthy donors, from which the researchers found that MAPK14 was overexpressed in PV samples and was associated with more symptoms and worse outcomes.
November 23rd 2021, 10:00pm
A recent study aims to improve evaluation of fatty liver in ultrasound scans to increase hepatology referrals and predict significant liver fibrosis.
November 23rd 2021, 9:09pm
Findings of a machine learning-based deep phenotyping approach found a myriad of factors associated with severe disease in atopic dermatitis, including age between 12 and 21 years or older than 52 years, lack of physical activity, and incidence of alopecia areata.
