[Retracted] Cancer Detection and Prediction Using Genetic Algorithms

A Bhandari, BK Tripathy, K Jawad… - Computational …, 2022 - Wiley Online Library
Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth
of cells, and it is the second leading cause of death globally. Screening, early diagnosis, and …

NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data

A Bilal, X Liu, M Shafiq, Z Ahmed, H Long - Computers in Biology and …, 2024 - Elsevier
In the realm of precision medicine, the potential of deep learning is progressively harnessed
to facilitate intricate clinical decision-making, especially when navigating multifaceted …

Advances in statistical methods for cancer surveillance research: an age-period-cohort perspective

PS Rosenberg, A Miranda-Filho - Frontiers in oncology, 2024 - frontiersin.org
Background Analysis of Lexis diagrams (population-based cancer incidence and mortality
rates indexed by age group and calendar period) requires specialized statistical methods …

Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions

M Yang, S Kim, X Sun, S Kim, J Choi, TS Park… - Applied Thermal …, 2024 - Elsevier
This study analyzed a recuperative burner system that is critical for energy efficiency and
pollutant reduction in the firing processes required in the manufacturing industries. We …

Rising Burden of Colon and Rectum Cancer in China: An Analysis of Trends, Gender Disparities, and Projections to 2030

Z Zhan, B Chen, W Lin, X Chen, R Huang… - Annals of Surgical …, 2025 - Springer
Background Colon and rectum cancer (CRC) is a major health burden in China, with notable
gender disparities. This study was designed to analyze trends in CRC incidence …

Parameter identification and identifiability analysis of lithium‐ion batteries

YY Choi, S Kim, K Kim, S Kim… - Energy Science & …, 2022 - Wiley Online Library
Parameter identification (PI) is a cost‐effective approach for estimating the parameters of an
electrochemical model for lithium‐ion batteries (LIBs). However, it requires identifiability …

DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization

SA Kamal, Y Du, M Khalid, M Farrash, S Dhelim - PloS one, 2024 - journals.plos.org
Diabetic retinopathy (DR) is a prominent reason of blindness globally, which is a
diagnostically challenging disease owing to the intricate process of its development and the …

Incidence trends, overall survival, and metastasis prediction using multiple machine learning and deep learning techniques in pediatric and adolescent population …

C Zhou, H Li, H Zeng, P Wang - Clinical and Translational Oncology, 2024 - Springer
Objective The objective of this study was to analyze the incidence and overall survival (OS)
of osteosarcoma (OSC) and Ewing's sarcoma (EWS) in a pediatric and adolescent …

[HTML][HTML] Trend and characteristics of minimally invasive surgery for patients with endometrial cancer in Japan

H Yoshida, H Machida, K Matsuo, Y Terai… - Journal of …, 2023 - ncbi.nlm.nih.gov
Objective Owing to the potential benefits of minimally invasive hysterectomy for endometrial
cancer, the practice pattern has recently shifted in Japan. This study examined the trends in …

Incidence Trends, Clinicopathologic Characteristics, and Overall Survival Prediction in Retinoblastoma Children: SEER Prognostic Nomogram Analysis

X Guo, L Wang, NM Beeraka, C Liu, X Zhao… - The …, 2024 - academic.oup.com
Background Retinoblastoma is the most common intraocular malignant tumor occurring
among children, with an incidence rate of 1/15 000. This study built a joinpoint regression …