Machine learning models predict antibiotic resistance spread
Scientists have used several machine learning models to predict bacterial gene exchange, which could reveal novel antibiotic targets.
List view / Grid view
Scientists have used several machine learning models to predict bacterial gene exchange, which could reveal novel antibiotic targets.
Professor Ulrich G Steidl received the National Institute of Cancer's Outstanding Investigator Award to study myelodysplastic syndromes (MDS) and acute myeloid leukaemia (AML).
Researchers used Raman spectroscopy to monitor immunotherapy response in mice, potentially improving cancer treatments in the future.
Scientists have found that Hutchinson-Gilford Progeria Syndrome (HGPS) can be prevented with treatments targeting the cardiovascular system using a novel mouse model.
A new study is the first to identify N-acylethanolamine acid amidase as a new drug target to treat different forms of chronic pain.
A new gene therapy restored motor skill-learning and usual behaviours in Angelman syndrome mouse models, suggesting a novel therapy for the condition.
The Pan-European Solid-State NMR Infrastructure for Chemistry-Enabling Access will offer researchers access to over 30 NMR spectrometers.
German, Norwegian and British scientists have identified molecular targets for therapies that could prevent breast cancer recurrence.
In an exclusive with Drug Target Review, researchers at the University at Buffalo explain how they developed a novel peptide that could be a future treatment for chronic inflammatory pain.
A new method, called synapse for T-cell activation (synTac), can attack HIV-infected T cells and may be a new cure for HIV and other diseases.
Scientists have created a nanofibre-based sheet to control and direct the migration of cells, possibly leading to brain tumour therapies.
Washington University will receive $7.5 million from the NIH to study senescent cells for treatments against age-related diseases.
Scientists have identified potential cancer drugs to treat pulmonary hypertension using experimental and computational approaches.
The statistical method known as maximum entropy could improve cryogenic electron microscopy (cryo-EM) for more effective drug treatments.
The antimicrobial hygromycin A was shown to clear Lyme disease in mice, representing a promising therapeutic against the disease.