Small molecules called immunomodulators can assist create simpler vaccines and stronger immunotherapies to treat cancer. But finding the molecules that instigate the correct immune response is difficult -;the variety of drug-like small molecules has been estimated to be 1060, much higher than the variety of stars within the visible universe. In a possible first for […]
Using machine learning, researchers are capable of use data from the brain to glean deeper insights and apply this latest knowledge in clinical settings. The findings shall be presented on Monday, November 13, 2–3 p.m. EST at Neuroscience 2023, the annual meeting of the Society for Neuroscience and the world’s largest source of emerging news […]
Provided that LinkedIn is owned by Microsoft, which has grow to be a major investor in ChatGPT creator OpenAI, it’s little surprise to see the skilled social network also leaning into AI to maximise its offerings. Today, LinkedIn has unveiled its recent “Recruiter 2024” project, which is able to add AI elements into its recruitment […]
In a recent study published in The Lancet Digital Health, researchers discuss the event and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) methylation biomarkers for improved classification of pulmonary nodules and the sooner diagnosis of lung cancer. Study: Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and […]
From tackling homework challenges to drafting emails, persons are discovering an enormous array of applications for natural language processing tools like generative artificial intelligence (AI) engines. Now, researchers from Pacific Northwest National Laboratory (PNNL) and Harvard Medical School (HMS) are using this same form of technology to construct a knowledge base to be able to […]
In a recent review posted to the medRxiv* preprint server, scientists explore the utility of machine learning methods in the sphere of neurodegenerative disease diagnosis, prognosis, and treatment effect prediction. Study: Using machine learning methods in neurodegenerative disease research: A scoping review. Image Credit: sfam_photo / Shutterstock.com *Vital notice: medRxiv publishes preliminary scientific reports that are usually not […]
A diagnostic study on the detection of occlusal caries from a clinical photograph using a deep learning algorithm will probably be presented on the 101st General Session of the IADR, which will probably be held together with the 9th Meeting of the Latin American Region and the 12th World Congress on Preventive Dentistry on June […]