[HTML][HTML] Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis
GX Wei, YW Zhou, ZP Li, M Qiu - Heliyon, 2024 - cell.com
Peritoneal carcinomatosis (PC) is a type of secondary cancer which is not sensitive to
conventional intravenous chemotherapy. Treatment strategies for PC are usually palliative …
conventional intravenous chemotherapy. Treatment strategies for PC are usually palliative …
[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology
M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …
Evolution of artificial intelligence as a modern technology in advanced cancer therapy
MS Khan, MY Alshahrani, S Wahab, G Gupta… - Journal of Drug Delivery …, 2024 - Elsevier
In the field of cancer research, a bird's eye view is now demanded to alleviate patient
suffering and mediate the lack of conventional cancer treatment. Despite of the …
suffering and mediate the lack of conventional cancer treatment. Despite of the …
[HTML][HTML] Artificial Intelligence and Deep Learning for Screening and Risk Assessment of Cancers
M Farrokhi, SJ Khouzani, M Farrokhi, H Jalayeri… - Kindle, 2024 - preferpub.org
Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning
Y Shao, R Bazargani, D Karimi, J Wang… - JCO Clinical Cancer …, 2024 - ascopubs.org
PURPOSE Prostate cancer (PCa) represents a highly heterogeneous disease that requires
tools to assess oncologic risk and guide patient management and treatment planning …
tools to assess oncologic risk and guide patient management and treatment planning …
[HTML][HTML] Is it possible to detect cribriform adverse pathology in prostate cancer with magnetic resonance imaging machine learning-based radiomics?
H Bıçakçıoğlu, S Soyupek, O Ertunç… - Computing and …, 2024 - ojs.acad-pub.com
Rationale and objectives: Cribriform patterns are accepted as aggressive variants of
prostate cancer. These adverse pathologies are closely associated with early biochemical …
prostate cancer. These adverse pathologies are closely associated with early biochemical …
AI-driven material design for tissue engineering a comprehensive approach integrating generative adversarial networks and high-throughput experimentation
N Somasundaram, M Vigneshkumar… - The Scientific …, 2024 - scientifictemper.com
This study presents an innovative AI-driven material design approach for tissue engineering,
integrating generative adversarial networks (GANs) and high-throughput experimentation …
integrating generative adversarial networks (GANs) and high-throughput experimentation …
[PDF][PDF] Atousa Moghadam Fard
J Atighi, F Madanchi, A Azimi, F Tabatabaei… - researchgate.net
Background Renal diseases, also known as kidney diseases, encompass a wide range of
conditions affecting the kidneys' functioning. From chronic kidney disease (CKD) to acute …
conditions affecting the kidneys' functioning. From chronic kidney disease (CKD) to acute …