Cargando…
Automated lead toxicity prediction using computational modelling framework
BACKGROUND: Lead, an environmental toxicant, accounts for 0.6% of the global burden of disease, with the highest burden in developing countries. Lead poisoning is very much preventable with adequate and timely action. Therefore, it is important to identify factors that contribute to maternal BLL and...
Autores principales: | Chaurasia, Priyanka, McClean, Sally I., Mahdi, Abbas Ali, Yogarajah, Pratheepan, Ansari, Jamal Akhtar, Kunwar, Shipra, Ahmad, Mohammad Kaleem |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661678/ https://www.ncbi.nlm.nih.gov/pubmed/38028960 http://dx.doi.org/10.1007/s13755-023-00257-4 |
Ejemplares similares
-
A Multi-Task Learning Framework for Automated Segmentation and Classification of Breast Tumors From Ultrasound Images
por: Chowdary, Jignesh, et al.
Publicado: (2022) -
Case of Lead Poisoning Associated with Herbal Health Supplements
por: Mahdi, Abbas Ali, et al.
Publicado: (2020) -
Blood Lead Levels in Children Living Near an Informal Lead Battery Recycling Workshop in Patna, Bihar
por: Ansari, Jamal Akhtar, et al.
Publicado: (2020) -
Anticancer, antioxidant potential and profiling of polyphenolic compounds of Wrightia tinctoria Roxb. (R.Br.) bark
por: Fatima, Nishat, et al.
Publicado: (2016) -
Nucleus segmentation and classification using residual SE-UNet and feature concatenation approach incervical cytopathology cell images
por: Chowdary, G Jignesh, et al.
Publicado: (2023)