Adults
Research from the University of Michigan has highlighted the complexity of nicotine, tobacco, and cannabis use among US adolescents and adults aged 12-34 years. The study, conducted with financial support from NIH National Cancer Institute (NCI), analyzed data from the Population Assessment of Tobacco and Health Wave 7 (2022-2023) to
Antineoplastic agents
Investigations at Genentech Inc. in South San Francisco, California, have led to the development of a groundbreaking computational procedure, REFINED, which significantly enhances predictive performance in anticancer drug sensitivity prediction tasks. This innovative methodology maps high-dimensional feature vectors into compact 2D images, enabling the application of convolutional neural networks (CNNs)
Cancer genetics
New research has shed light on the shortcomings of traditional chemotherapy and the potential of targeted drug delivery systems (DDS) for enhanced cancer treatment. According to a study published in the Journal of Drug Delivery Science and Technology, cancer remains a major global health concern, necessitating the development of novel
Acquisitions and mergers
Research led by the Carnegie Mellon University has made significant findings in the detection of electromagnetic counterparts to gravitational wave events using the DECam survey. The study aimed to estimate the localization uncertainties and rates of gravitational wave detections, as well as optimize available telescope time to enable the detection
Medical research
A recent announcement by the Indian government has marked the start of the final phase in the country's fight against leprosy, with a plan to achieve zero transmission by 2027. This development comes as the country grapples with pockets of high prevalence and unknown transmission chains of the
COVID-19
A new study conducted in India has found a significant increase in the prevalence of cardiometabolic multimorbidity (CMM), a condition where multiple cardiometabolic diseases co-occur, posing a growing health concern among older adults. The research analyzed data from 59,764 participants aged 45 and above from the Longitudinal Ageing Study
Agriculture
Plant growth and productivity face significant challenges in regions with changing climate conditions, particularly with regards to drought. According to a recent study conducted by researchers at Lanzhou University, one of the major obstacles to plant growth and productivity is drought. The study highlights the importance of understanding the mechanisms
Dark matter
Cosmological dark matter-only zoom-in simulations have provided groundbreaking data on the Milky Way analog, shedding light on the effects of linear matter power spectrum enhancement on dark matter substructure. Funded by the National Science Foundation, the research tackles the primordial matter power spectrum and dark matter physics in the radiation-dominated
Auburn University
Researchers at Auburn University have revealed new findings on the devastating effects of alcohol consumption on the human body. The study, published in the journal Redox Biology, highlights the critical role of autophagy in organ damage caused by heavy drinking. According to the study, chronic alcohol exposure impairs autophagy, leading
University of California
Scientists at the University of California, Berkeley, have conducted a comprehensive study on the Type IIP supernova, SN 2019hnl. This research sheds light on the properties of the supernova, including its peak absolute V-band magnitude, plateau length, and early decline rate. The findings indicate that the progenitor of SN 2019hnl
Periodical publishing
New research has shed light on the properties of type Ia supernovas and their host galaxies, providing critical information for future cosmological analyses. Using data from the Dark Energy Survey 5-yr sample, researchers from the University of Oxford have categorized SNe Ia into three distinct groups based on the distribution
Machine learning
Researchers Prafulla Nath Dawadi, David Everton Norman, and Harel Moshe Yedidsion have filed a patent application for a method utilizing reinforcement learning to optimize substrate processing in facilities. The invention aims to maximize processing on higher-yield tools while meeting production thresholds. Key components include identifying current state data, providing it
