Monthly Archives: May, 2023
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Uncovering Genetic Causes of Heart Disease Using Machine Learning
Researchers from the Broad Institute of MIT and Harvard have developed a machine learning model that can use ECG and MRI data combined to identify heart conditions, structural details of the heart such as weight, and even detect heart diseases. Learn about the team's autoencoder model, its potential and current applications, as well as its implications for the medical field.
Vitamin D and Melanoma: Investigating How Machine Learning Can Help Predict Recurrence Risk
This Melanoma Monday, Healio brings you research about advanced melanoma treatments. Discover tissue-sparing options such as vitamin D supplements, mRNA-based vaccines and plant derived sugars. Learn how machine-learning helps identify high-risk recurrence patients. Read about innovative immunotherapy treatments and fecal microbiota transplant defense against melanoma. Healio is the source for reliable research + news.
Discovering Expression Patterns of Cooperative Drug Effects Using Explainable Machine Learning Models in Biomedical Engineering
This article presents how drug combinational synergies can be studied by utilizing ensembles of explainable machine-learning models. A case study of 133 combinations of 46 anticancer drugs and 285 patients with acute myeloid leukaemia highlights the successful uncovering of a haematopoietic-differentiation signature. This method can be used to optimize cancer treatments and discover additional drug combinations. Research by Professors Wojciech Barczys and Richard Neuberg.
Improving Our Knowledge of Particle Beams in Accelerators with Clever Algorithm and Machine Learning Techniques
Discover how a new algorithm, combining machine learning and traditional beam physics equations, can predict the shape of particle beams to create a detailed picture. This breakthrough promises to save researchers time and effort while giving them greater insight into the behaviour of these beams.
Robust Employment Prospects: 69 Million Global Jobs Boosted by AI and Machine Learning in India
. This article chronicles the positive impact of Artificial Intelligence (AI) and Machine Learning (ML) on job roles in India, as predicted by the World Economic Forum (WEF). 65 percent of the companies expect job growth, thanks to new tech and improved digital access. 75 percent surveyed companies are implementing AI, while 25 percent anticipate job losses. OpenAI's ChatGPT, Microsoft's Bing and Google's Bard are the chatbots making waves in the sector and generating new careers like prompt engineering. Divyanshi Sharma, an AI specialist and ML scientist, is one of the main protagonists behind this remarkable transformation.