Breast cancer detection using artificial intelligence techniques: A systematic literature review

AB Nassif, MA Talib, Q Nasir, Y Afadar… - Artificial intelligence in …, 2022 - Elsevier
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has
been developed for it. Breast cancer is one of the most common cancer types. According to …

Navigating the pitfalls of applying machine learning in genomics

S Whalen, J Schreiber, WS Noble… - Nature Reviews Genetics, 2022 - nature.com
The scale of genetic, epigenomic, transcriptomic, cheminformatic and proteomic data
available today, coupled with easy-to-use machine learning (ML) toolkits, has propelled the …

Innovations in genomics and big data analytics for personalized medicine and health care: A review

M Hassan, FM Awan, A Naz… - International journal of …, 2022 - mdpi.com
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction

M Mirbabaie, S Stieglitz, NRJ Frick - Health and Technology, 2021 - Springer
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …

Artificial intelligence in pharmaceutical and healthcare research

SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …

Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders

L Gedefaw, CF Liu, RKL Ip, HF Tse, MHY Yeung… - Cells, 2023 - mdpi.com
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …

[HTML][HTML] Machine learning in the prediction of cancer therapy

R Rafique, SMR Islam, JU Kazi - Computational and Structural …, 2021 - Elsevier
Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …

Progress, challenges and global approaches to rare diseases

SC Groft, M Posada, D Taruscio - Acta paediatrica, 2021 - Wiley Online Library
Rare diseases occur globally at every stage of life. Patients, families and caregivers have
many unmet medical and social needs leading to extraordinary psychosocial and economic …

Ethical implications of epigenetics in the era of personalized medicine

J Santaló, M Berdasco - Clinical epigenetics, 2022 - Springer
Given the increasing research activity on epigenetics to monitor human diseases and its
connection with lifestyle and environmental expositions, the field of epigenetics has attracted …

Artificial intelligence, machine learning, and deep learning for clinical outcome prediction

RW Pettit, R Fullem, C Cheng… - Emerging topics in life …, 2021 - portlandpress.com
AI is a broad concept, grouping initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …