Artificial intelligence in drug discovery and development
This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …
discovery and development, encapsulating its potentials, methodologies, real-world …
[HTML][HTML] Artificial intelligence in pharmaceutical technology and drug delivery design
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …
knowledge and provides expedited solutions to complex challenges. Remarkable …
Redefining radiology: a review of artificial intelligence integration in medical imaging
R Najjar - Diagnostics, 2023 - mdpi.com
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …
Biomarkers as biomedical bioindicators: approaches and techniques for the detection, analysis, and validation of novel Biomarkers of diseases
A Ahmad, M Imran, H Ahsan - Pharmaceutics, 2023 - mdpi.com
A biomarker is any measurable biological moiety that can be assessed and measured as a
potential index of either normal or abnormal pathophysiology or pharmacological responses …
potential index of either normal or abnormal pathophysiology or pharmacological responses …
Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review
R Adam, K Dell'Aquila, L Hodges, T Maldjian… - Breast Cancer …, 2023 - Springer
Deep learning analysis of radiological images has the potential to improve diagnostic
accuracy of breast cancer, ultimately leading to better patient outcomes. This paper …
accuracy of breast cancer, ultimately leading to better patient outcomes. This paper …
Artificial intelligence in cancer diagnosis: Opportunities and challenges
Since cancer is one of the world's top causes of death, early diagnosis is critical to improving
patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer …
patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer …
AI in pathology: what could possibly go wrong?
The field of medicine is undergoing rapid digital transformation. Pathologists are now
striving to digitize their data, workflows, and interpretations, assisted by the enabling …
striving to digitize their data, workflows, and interpretations, assisted by the enabling …
Artificial intelligence in CT and MR imaging for oncological applications
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
[HTML][HTML] AI-Enhanced Virtual Clinics and Telemedicine for Cancer Treatment
H Amiri, M Ghaneiyan, P Farjami, H Mehran… - Kindle, 2024 - preferpub.org
AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …
access to care, diagnostic precision, and personalized treatment options. For patients …
Role of machine learning in precision oncology: applications in gastrointestinal cancers
Simple Summary Worldwide gastrointestinal (GI) malignancies account for about 25% of the
global cancer incidence. For some malignancies, screening programs, such as routine colon …
global cancer incidence. For some malignancies, screening programs, such as routine colon …