Nanotechnology and machine learning: a promising confluence for the advancement of precision medicine
Shuaibu Saidu Musa(Ahmadu Bello University), Don Eliseo Lucero‐Prisno(Bukidnon State University), James Brian Flores(Southern Leyte State University), Olalekan John Okesanya(Federal Neuro Psychiatric Hospital), Manuel B. Garcia(Far Eastern University), Adamu Muhammad Ibrahim(Usmanu Danfodiyo University), Carina Joane V. Barroso(Bukidnon State University), Abraham Fessehaye Sium(St. Paul's Hospital Millennium Medical College), Mohamed Mustaf Ahmed(Chulalongkorn University), Auwal Rabiu Auwal(Chulalongkorn University), Abdulrahman Garba Jibo(Chulalongkorn University), M. B. N. Kouwenhoven(Xi’an Jiaotong-Liverpool University), Adamu Safiyanu Maikifi(Chulalongkorn University), Zhinya Kawa Othman(Kurdistan Regional Government)
Cited by 13
Related Papers
Worldwide Burden, Risk Factors, and Temporal Trends of Ovarian Cancer: A Global Study
|Cancers|2022|303
Updated epidemiology of gastrointestinal cancers in East Asia
|Nature Reviews Gastroenterology & Hepatology|2023|258
The epidemiological landscape of multiple myeloma: a global cancer registry estimate of disease burden, risk factors, and temporal trends
|The Lancet Haematology|2022|208
Impact of COVID‐19 on access to healthcare in low‐ and middle‐income countries: Current evidence and future recommendations
|The International Journal of Health Planning and Management|2020|172
The use of antibiotics in COVID-19 management: a rapid review of national treatment guidelines in 10 African countries
|Tropical Medicine and Health|2021|153