Výsledky vyhledávání - "Machine Learning and Artificial Intelligence"

Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis Autor Niazi, Sarfaraz K., Mariam, Zamara

“…In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges as a transformative force, bridging the realms of biology and technology…”
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Abstract 1161 Natural anosmia-inducing compounds for control of mosquito biting behaviors: Machine learning-assisted determination of structural determinants for ORco ligands antagonizing odorant receptor function Autor Iatrou, Kostas, Thireou, Trias, Kythreoti, Georgia, Liggri, Panagiota, Michaelakis, Antonios, Papachristos, Dimitrios, Tsitsanou, Katerina, Zographos, Spyros, Schulz, Stefan

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Modeling aspects of the language of life through transfer-learning protein sequences Autor Heinzinger, Michael, Elnaggar, Ahmed, Wang, Yu, Dallago, Christian, Nechaev, Dmitrii, Matthes, Florian, Rost, Burkhard

“…Background Predicting protein function and structure from sequence is one important challenge for computational biology. For 26 years, most state-of-the-art…”
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Comprehensive ensemble in QSAR prediction for drug discovery Autor Kwon, Sunyoung, Bae, Ho, Jo, Jeonghee, Yoon, Sungroh

“…Background Quantitative structure-activity relationship (QSAR) is a computational modeling method for revealing relationships between structural properties of…”
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Emerging Application of Nanorobotics and Artificial Intelligence To Cross the BBB: Advances in Design, Controlled Maneuvering, and Targeting of the Barriers Autor Singh, Ajay Vikram, Chandrasekar, Vaisali, Janapareddy, Poonam, Mathews, Divya Elsa, Laux, Peter, Luch, Andreas, Yang, Yin, Garcia-Canibano, Beatriz, Balakrishnan, Shidin, Abinahed, Julien, Al Ansari, Abdulla, Dakua, Sarada Prasad

“…The blood-brain barrier (BBB) is a prime focus for clinicians to maintain the homeostatic function in health and deliver the theranostics in brain cancer and…”
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DPDDI: a deep predictor for drug-drug interactions Autor Feng, Yue-Hua, Zhang, Shao-Wu, Shi, Jian-Yu

“…Background The treatment of complex diseases by taking multiple drugs becomes increasingly popular. However, drug-drug interactions (DDIs) may give rise to the…”
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Conditional permutation importance revisited Autor Debeer, Dries, Strobl, Carolin

“…Background Random forest based variable importance measures have become popular tools for assessing the contributions of the predictor variables in a fitted…”
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Novel deep learning model for more accurate prediction of drug-drug interaction effects Autor Lee, Geonhee, Park, Chihyun, Ahn, Jaegyoon

“…Background Predicting the effect of drug-drug interactions (DDIs) precisely is important for safer and more effective drug co-prescription. Many computational…”
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Graph-based prediction of Protein-protein interactions with attributed signed graph embedding Autor Yang, Fang, Fan, Kunjie, Song, Dandan, Lin, Huakang

“…Background Protein-protein interactions (PPIs) are central to many biological processes. Considering that the experimental methods for identifying PPIs are…”
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Prediction of heart disease and classifiers’ sensitivity analysis Autor Almustafa, Khaled Mohamad

“…Background Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care…”
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ProteinNet: a standardized data set for machine learning of protein structure Autor AlQuraishi, Mohammed

“…Background Rapid progress in deep learning has spurred its application to bioinformatics problems including protein structure prediction and design. In classic…”
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Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models Autor Abdurahman, Fetulhak, Fante, Kinde Anlay, Aliy, Mohammed

“…Background Manual microscopic examination of Leishman/Giemsa stained thin and thick blood smear is still the “gold standard” for malaria diagnosis. One of the…”
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Quality of Information About Kidney Stones from Artificial Intelligence Chatbots Autor Musheyev, David, Pan, Alexander, Kabarriti, Abdo E, Loeb, Stacy, Borin, James

“…Kidney stones are common and morbid conditions in the general population with a rising incidence globally. Prior studies show substantial limitations of online…”
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Reward criteria impact on the performance of reinforcement learning agent for autonomous navigation Autor Dayal, Aveen, Cenkeramaddi, Linga Reddy, Jha, Ajit

“…In reinforcement learning, an agent takes action at every time step (follows a policy) in an environment to maximize the expected cumulative reward. Therefore,…”
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FeatureSelect: a software for feature selection based on machine learning approaches Autor Masoudi-Sobhanzadeh, Yosef, Motieghader, Habib, Masoudi-Nejad, Ali

“…Background Feature selection, as a preprocessing stage, is a challenging problem in various sciences such as biology, engineering, computer science, and other…”
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A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data Autor Xu, Jing, Wu, Peng, Chen, Yuehui, Meng, Qingfang, Dawood, Hussain, Dawood, Hassan

“…Background Cancer subtype classification attains the great importance for accurate diagnosis and personalized treatment of cancer. Latest developments in…”
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Application of network link prediction in drug discovery Autor Abbas, Khushnood, Abbasi, Alireza, Dong, Shi, Niu, Ling, Yu, Laihang, Chen, Bolun, Cai, Shi-Min, Hasan, Qambar

“…Background Technological and research advances have produced large volumes of biomedical data. When represented as a network (graph), these data become useful…”
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Still Using Only ChatGPT? The Comparison of Five Different Artificial Intelligence Chatbots' Answers to the Most Common Questions About Kidney Stones Autor Şahin, Mehmet Fatih, Topkaç, Erdem Can, Doğan, Çağrı, Şeramet, Serkan, Özcan, Rıdvan, Akgül, Murat, Yazıcı, Cenk Murat

“…To evaluate and compare the quality and comprehensibility of answers produced by five distinct artificial intelligence (AI) chatbots-GPT-4, Claude, Mistral,…”
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A Machine Learning (ML) Predictive Model for Ureteroscopy lasertripsy (URSL) Outcomes in a Paediatric Population - Results from a large Endourology Tertiary Centre Autor Nedbal, Carlotta, Adithya, Sairam, Gite, Shilpa, Naik, Nithesh, Griffin, Stephen, Somani, Bhaskar K

“…We aimed to develop machine learning (ML) algorithms for the automated prediction of post operative ureteroscopy outcomes for paediatric kidney stones based on…”
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Improving biomedical named entity recognition with syntactic information Autor Tian, Yuanhe, Shen, Wang, Song, Yan, Xia, Fei, He, Min, Li, Kenli

“…Background Biomedical named entity recognition (BioNER) is an important task for understanding biomedical texts, which can be challenging due to the lack of…”
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