[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
Drug discovery and development is a time-consuming process that involves identifying,
designing, and testing new drugs to address critical medical needs. In recent years, machine …
designing, and testing new drugs to address critical medical needs. In recent years, machine …
Non-linear fracture analysis of hematite concrete considering micropore diameter and porosity
J Guan, Y Wang, C Xie, L Li, Z Cao - Engineering Fracture Mechanics, 2024 - Elsevier
As awareness of radiation damage has been growing among people, the shielding
properties of Hematite Concrete (HC) have garnered more attention. Meanwhile, the fracture …
properties of Hematite Concrete (HC) have garnered more attention. Meanwhile, the fracture …
Urine biomarkers discovery by metabolomics and machine learning for Parkinson's disease diagnoses
Parkinson's disease (PD) is a complex neurological disorder that typically worsens with age.
A wide range of pathologies makes PD a very heterogeneous condition, and there are …
A wide range of pathologies makes PD a very heterogeneous condition, and there are …
A comprehensive exploration of deep learning approaches for pulmonary nodule classification and segmentation in chest CT images
M Canayaz, S Şehribanoğlu, M Özgökçe… - Neural Computing and …, 2024 - Springer
Accurately determining whether nodules on CT images of the lung are benign or malignant
plays an important role in the early diagnosis and treatment of tumors. In this study, the …
plays an important role in the early diagnosis and treatment of tumors. In this study, the …
Dynamic mutation late acceptance hill climbing aided red fox optimization for metabolomic biomarkers selection from lung cancer patient sera
S Guo, Z Zhao, L Han, L Wu, X Song, AB Cekderi - Applied Soft Computing, 2024 - Elsevier
The accurate selection of serum metabolomic biomarkers for early lung cancer screening
remains a significant challenge in the clinical context. Consequently, this study introduces …
remains a significant challenge in the clinical context. Consequently, this study introduces …
A review on pulmonary carcinoma using machine learning
M Elavarasu, K Govindaraju - AIP Conference Proceedings, 2023 - pubs.aip.org
Pulmonary carcinoma affects both men and women caused by the uncontrollable growth of
cells. The majority of pulmonary carcinoma is discovered at an advanced stage. Pulmonary …
cells. The majority of pulmonary carcinoma is discovered at an advanced stage. Pulmonary …
Investigating the Potential of Non-Invasive Breath Test Analysis for Early Detection of Oral Cancer: A Systematic Review: Non-Invasive Breath Test for Early Oral …
MR Tagar, SP Soomro, M Mustafa, AT Ali… - Pakistan Journal of …, 2024 - thejas.com.pk
Oral cancer is the 6th most common type of human cancer with a survival rate of around
50% originates in the squamous cells of the mouth and throat. Early diagnosis of oral cancer …
50% originates in the squamous cells of the mouth and throat. Early diagnosis of oral cancer …
Obtención de una herramienta quimiométrica para la clasificación sensorial de una fragancia
CC Fernández Ramírez - repositorio.unal.edu.co
La industria cosmética y de fragancias emplean análisis sensoriales e instrumentales para
declarar la conformidad de un producto o para describirlo sensorialmente. En esta industria …
declarar la conformidad de un producto o para describirlo sensorialmente. En esta industria …
[PDF][PDF] Comprehensive Review on Lung Cancer Detection with Metabolite Profile, CT Scans using Machine Learning
YP Khairnar, A Pingale, AP Patil, P Deshpande… - alochana.org
Globally, lung cancer is the second most frequent type of cancer. Lung cancer is typically
identified in advanced stages, which limits the spectrum of potential treatment choices …
identified in advanced stages, which limits the spectrum of potential treatment choices …