%0 Generic
%T Artificial intelligence and computational dynamics for biomedical research
%A Saxena, Ankur
%A Saxena, Ankur
%A Brault, Nicolas
%A Brault, Nicolas
%A Aucouturier, Etienne
%A Avasthi, Anupama
%A Avasthi, Anushree A
%A Bansal, Hina
%A Chauhan, Ritu
%A Chaurasia, Ankur
%A Chawla, Bhavika
%A Chinnam, Sampath
%A Cumarasurier, Shantosh
%A Das, Asim Bikas
%A De, Anveshita
%A Duchemann, Benoît
%A Gupta, Payal
%A Hussein, Nada
%A Jadaun, Ranjana
%A Jaggi, Vinita Kumar
%A Jain, Shreya
%A Jain, Vanshika
%A Janardhanan, Rajiv
%A Katare, Deepshikha Pande
%A Kohli, Reet Kaur
%A Kulshrestha, Sudeepti
%A Kumar, Ravindra
%A Mani, Ruchi Jakhmola
%A Meetei, Potshangbam Angamba
%A Mehta, Vaishali
%A Moni, Vidya
%A Narad, Priyanka
%A Prajapati, Jyoti
%A Prajapati, Kajal
%A Priyadarshini, Payal
%A Rani, Shikha
%A Ranjan, Priya
%A Rathi, Bhawna
%A Rathore, Shruti
%A Saluja, Kunal
%A Saxena, Mohit
%A Segan, Mehak
%A Sengupta, Abhishek
%A Sharma, Kaamya
%A Sharma, Mukund
%A Sharma, Nitin
%A Sharma, Parinita
%A Shrivastav, Kumar Dron
%A Singh, Aditya Vikram
%A Singh, Harpreet
%A Sreedharan, Smitha Mony
%A Srivastava, Dhaval Kumar
%A Suthar, Jashoda Kishanlal
%A Taneja, Neha
%I De Gruyter
%@ 9783110762044
%@ 9783110762082
%K COMPUTERS / Intelligence (AI) & Semantics
%K Artificial Intelligence
%K Big Data
%K Biomedicine
%K Cloud Computing
%K Medical Diagnosis
%K Aufsatzsammlung
%K Medizinische Informatik
%K Diagnostik
%D [2022]
%D , ©2022
%X Frontmatter
%X Contents
%X Recent advancements in biomedical research in the era of AI and ML
%X Prediction of cardiovascular diseases using random forest and naive Bayes algorithm
%X Big data analytics for personalized medicine
%X Intellection of biological life in current era
%X Integrating artificial intelligence techniques for analysis of next-generation sequencing data
%X Artificial intelligence: the future of neuroscience
%X Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments
%X Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach
%X Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer
%X The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women
%X Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods
%X Artificial intelligence and machine learning in healthcare: an ethical perspective
%X Artificial intelligence in dentistry: current issues and perspectives
%X AI for pattern recognition and objectivity: the case of melanoma detection
%X Ethical horizons of biobank-based artificial intelligence in biomedical research
%X Index
%C De Gruyter
%C Berlin
%U http://slubdd.de/katalog?TN_libero_mab2
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