Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web

Autor: Hamed Haddadi, Yelena Mejova, Seyed Ali Ossia, Gianluca Stringhini, Sina Sajadmanesh, Sina Jafarzadeh, Mirco Musolesi, Hamid R. Rabiee, Emiliano De Cristofaro

Publikováno v: WWW (Companion Volume)

Food and nutrition occupy an increasingly prevalent space on the web, and dishes and recipes shared online provide an invaluable mirror into culinary cultures and attitudes around the world. More specifically, ingredients, flavors, and nutrition info

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c56a0808f1516c2fd7b682d505c17a7

CNVDeep: deep association of copy number variants with neurocognitive disorders.

Autor: Rahaie Z; BCB Group, DML, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran., Rabiee HR; BCB Group, DML, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran. rabiee@sharif.edu., Alinejad-Rokny H; UNSW Biomedical Machine Learning Lab (BML), School of Biomedical Engineering, UNSW Sydney, Sydney, Australia. h.alinejad@unsw.edu.au.

Publikováno v: BMC bioinformatics [BMC Bioinformatics] 2024 Aug 29; Vol. 25 (1), pp. 283. Date of Electronic Publication: 2024 Aug 29.

HGTDR: Advancing drug repurposing with heterogeneous graph transformers.

Autor: Gharizadeh A; Department of Computer Engineering, Sharif University of Technology, Tehran, P.O. Box 11155-9517, Iran., Abbasi K; Department of Computer Engineering, Sharif University of Technology, Tehran, P.O. Box 11155-9517, Iran., Ghareyazi A; Department of Computer Engineering, Sharif University of Technology, Tehran, P.O. Box 11155-9517, Iran., Mofrad MRK; Departments of Bioengineering and Mechanical Engineering, University of California, Berkeley, CA, P.O. Box 94720-1740, United States., Rabiee HR; Department of Computer Engineering, Sharif University of Technology, Tehran, P.O. Box 11155-9517, Iran.

Publikováno v: Bioinformatics (Oxford, England) [Bioinformatics] 2024 Jul 01; Vol. 40 (7).

Predicting survival of Iranian COVID-19 patients infected by various variants including omicron from CT Scan images and clinical data using deep neural networks.

Autor: Ghafoori M; Radiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran., Hamidi M; BCB Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.; AI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran., Modegh RG; Data science and Machine learning Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.; BCB Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.; AI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran., Aziz-Ahari A; Radiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran., Heydari N; Radiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran., Tavafizadeh Z; Radiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran., Pournik O; Radiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran., Emdadi S; AI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran., Samimi S; AI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran., Mohseni A; AI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.; BCB Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran., Khaleghi M; Radiology Department, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Hemmat, Tehran, 14535, Iran., Dashti H; AI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran., Rabiee HR; Data science and Machine learning Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.; BCB Lab, Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.; AI-Med Group, AI Innovation Center, Sharif University of Technology, Azadi, Tehran, 11365-8639, Iran.

Publikováno v: Heliyon [Heliyon] 2023 Nov 08; Vol. 9 (11), pp. e21965. Date of Electronic Publication: 2023 Nov 08 (Print Publication: 2023).

Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework.

Autor: Ramezani M; Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.; Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran., Takian A; Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. takian@tums.ac.ir.; Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran. takian@tums.ac.ir.; Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. takian@tums.ac.ir., Bakhtiari A; Health Equity Research Centre (HERC), Tehran University of Medical Sciences, Tehran, Iran., Rabiee HR; Department of Computer Engineering, Sharif University of Technology, Tehran, Iran., Ghazanfari S; Department of Health Management, Policy and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran., Sazgarnejad S; School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Publikováno v: BioData mining [BioData Min] 2023 Oct 31; Vol. 16 (1), pp. 31. Date of Electronic Publication: 2023 Oct 31.