Artificial intelligence and machine learning in cancer imaging
An increasing array of tools is being developed using artificial intelligence (AI) and machine
learning (ML) for cancer imaging. The development of an optimal tool requires …
learning (ML) for cancer imaging. The development of an optimal tool requires …
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial
G Wang, X Liu, Z Ying, G Yang, Z Chen, Z Liu… - Nature Medicine, 2023 - nature.com
The personalized titration and optimization of insulin regimens for treatment of type 2
diabetes (T2D) are resource-demanding healthcare tasks. Here we propose a model-based …
diabetes (T2D) are resource-demanding healthcare tasks. Here we propose a model-based …
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
This review delves into the most recent advancements in applying artificial intelligence (AI)
within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors …
within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors …
Technological advancements in cancer diagnostics: Improvements and limitations
A Pulumati, A Pulumati, BS Dwarakanath… - Cancer …, 2023 - Wiley Online Library
Background Cancer is characterized by the rampant proliferation, growth, and infiltration of
malignantly transformed cancer cells past their normal boundaries into adjacent tissues. It is …
malignantly transformed cancer cells past their normal boundaries into adjacent tissues. It is …
Cancer epigenetics: From laboratory studies and clinical trials to precision medicine
X Yu, H Zhao, R Wang, Y Chen, X Ouyang, W Li… - Cell Death …, 2024 - nature.com
Epigenetic dysregulation is a common feature of a myriad of human diseases, particularly
cancer. Defining the epigenetic defects associated with malignant tumors has become a …
cancer. Defining the epigenetic defects associated with malignant tumors has become a …
The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID
J Li, Y Zhou, J Ma, Q Zhang, J Shao, S Liang… - Signal transduction and …, 2023 - nature.com
There have been hundreds of millions of cases of coronavirus disease 2019 (COVID-19),
which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With …
which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With …
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
[HTML][HTML] Artificial intelligence in cancer research: trends, challenges and future directions
AM Sebastian, D Peter - Life, 2022 - mdpi.com
The World Health Organization (WHO), in their 2022 report, identified cancer as one of the
leading causes of death, accounting for about 16% of deaths worldwide. The Cancer …
leading causes of death, accounting for about 16% of deaths worldwide. The Cancer …
Artificial intelligence assists precision medicine in cancer treatment
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …
same drugs or surgical methods in patients with the same tumor may have different curative …