Latest AI and machine learning research in prescriptions for healthcare professionals.
Accurately predicting drug-target binding affinity plays a vital role in accelerating drug discovery. Many computational approaches have been proposed due to costly and time-consuming of wet laboratory experiments. In the input representation, most methods only focus on the target sequence properties or target structure properties while ignore the overall contribution. Therefore, we develop a nove...
The accumulation of pesticide residues poses a significant threat to the health of people and the surrounding ecological systems. However, traditional methods are not only costly but require expertise in analysis. An electrochemiluminescence (ECL) aptasensor was developed using chitosan and molybdenum disulfide (CTS-MoS), along with acetylene black (AB@CTS) for the rapid detection of malathion res...
BACKGROUND: Medication management has a key role in the daily tasks of home care professionals delivered to older clients in home care. The aim of thi...
Biohybrid robots have been developed for biomedical applications and industrial robotics. However, the biohybrid robots have limitations to be applied...
Circulating tumor cells (CTCs) are cancer cells that detach from the primary tumor and intravasate into the bloodstream. Thus, non-invasive liquid bio...
The use of artificial intelligence (AI)-based tools to guide prescribing decisions is full of promise and may enhance patient outcomes. These tools ca...
In this study, we aim to develop a machine learning model to predict the level of coordination between two players in tacit coordination games by anal...
Medical image inpainting holds significant importance in enhancing the quality of medical images by restoring missing areas, thereby rendering them su...
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet existing Trophic Status Index (TSI) models face challenges li...
One of the cost-effective alternative methods to find new inhibitors has been the repositioning approach of existing drugs. The advantage of computati...
(1) Background: Social robot interaction design is crucial for determining user acceptance and experience. However, few studies have systematically di...
Artificial Intelligence (AI) has been widely utilized in automated journalism writing and broadcasting in recent years. However, few systematic studie...
The number of patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 is still increasing. In the case of COVID-19 and tuberc...
Drug repurposing is an exciting field of research toward recognizing a new FDA-approved drug target for the treatment of a specific disease. It has re...
Global phosphoproteomics experiments quantify tens of thousands of phosphorylation sites. However, data interpretation is hampered by our limited know...
OpenAI's Chat Generative Pre-trained Transformer (ChatGPT) technology enables conversational interactions with applications across various fields, inc...
Market uncertainty greatly interferes with the decisions and plans of market participants, thus increasing the risk of decision-making, leading to com...
Predicting plasma protein binding (PPB) is crucial in drug development due to its profound impact on drug efficacy and safety. In our study, we employ...
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug discovery and development, clinical trials, personalize...
Peptide-based drugs offer high specificity, potency, and selectivity. However, their inherent flexibility and differences in conformational preference...