Cargando…
Early Detection of Pre-Cancerous and Cancerous Cells Using Raman Spectroscopy-Based Machine Learning
Cancer is the most common and fatal disease around the globe, with an estimated 19 million newly diagnosed patients and approximately 10 million deaths annually. Patients with cancer struggle daily due to difficult treatments, pain, and financial and social difficulties. Detecting the disease in its...
Autores principales: | Sharaha, Uraib, Hania, Daniel, Lapidot, Itshak, Salman, Ahmad, Huleihel, Mahmoud |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378363/ https://www.ncbi.nlm.nih.gov/pubmed/37508572 http://dx.doi.org/10.3390/cells12141909 |
Ejemplares similares
-
Quick Detection of Proteus and Pseudomonas in Patients’ Urine and Assessing Their Antibiotic Susceptibility Using Infrared Spectroscopy and Machine Learning
por: Abu-Aqil, George, et al.
Publicado: (2023) -
Detection of Vero Cells Infected with Herpes Simplex Types 1 and 2 and Varicella Zoster Viruses Using Raman Spectroscopy and Advanced Statistical Methods
por: Huleihel, Mahmoud, et al.
Publicado: (2016) -
Raman spectroscopy and topological machine learning for cancer grading
por: Conti, Francesco, et al.
Publicado: (2023) -
Potential of infrared microscopy to differentiate between dementia with Lewy bodies and Alzheimer’s diseases using peripheral blood samples and machine learning algorithms
por: Salman, Ahmad, et al.
Publicado: (2020) -
Raman Spectroscopy and Machine-Learning for Early Detection of Bacterial Canker of Tomato: The Asymptomatic Disease Condition
por: Vallejo-Pérez, Moisés Roberto, et al.
Publicado: (2021)