Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Artificial intelligence in cancer research and precision medicine
Artificial intelligence (AI) is rapidly resha** cancer research and personalized clinical
care. Availability of high-dimensionality datasets coupled with advances in high …
care. Availability of high-dimensionality datasets coupled with advances in high …
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
Network-based machine learning approach to predict immunotherapy response in cancer patients
Immune checkpoint inhibitors (ICIs) have substantially improved the survival of cancer
patients over the past several years. However, only a minority of patients respond to ICI …
patients over the past several years. However, only a minority of patients respond to ICI …
Machine learning methods in drug discovery
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
Gene expression based inference of cancer drug sensitivity
Inter and intra-tumoral heterogeneity are major stumbling blocks in the treatment of cancer
and are responsible for imparting differential drug responses in cancer patients. Recently …
and are responsible for imparting differential drug responses in cancer patients. Recently …
[HTML][HTML] Predicting drug response and synergy using a deep learning model of human cancer cells
Most drugs entering clinical trials fail, often related to an incomplete understanding of the
mechanisms governing drug response. Machine learning techniques hold immense promise …
mechanisms governing drug response. Machine learning techniques hold immense promise …
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
Cancer claims millions of lives yearly worldwide. While many therapies have been made
available in recent years, by in large cancer remains unsolved. Exploiting computational …
available in recent years, by in large cancer remains unsolved. Exploiting computational …
Artificial intelligence and machine learning approaches for drug design: Challenges and opportunities for the pharmaceutical industries
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Develo** new drug molecules to overcome …
development as intractable and hot research. Develo** new drug molecules to overcome …
A review of deep learning applications in human genomics using next-generation sequencing data
WS Alharbi, M Rashid - Human Genomics, 2022 - Springer
Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …
data generating technologies in human genomics, we are overwhelmed with the heap of …
Cellular senescence and cardiovascular diseases: moving to the “heart” of the problem
Cardiovascular diseases (CVDs) constitute the prime cause of global mortality, with an
immense impact on patient quality of life and disability. Clinical evidence has revealed a …
immense impact on patient quality of life and disability. Clinical evidence has revealed a …