Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

DiatomNet v1.0: A novel approach for automatic diatom testing for drowning diagnosis in forensically biomedical application.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Zhang Ji, Vieira Duarte Nuno, Cheng Qi, Zhu Yongzheng, Deng Kaifei, Zhang Jianhua, Qin Zhiqiang, Sun Qiran, Zhang Tianye, Ma Kaijun, Zhang Xiaofeng, Huang Ping
2023-Feb-21
Artificial intelligence, Convolutional neural network, Deep learning, Diatom testing, Drowning

Mobile app for targeted selective treatment of haemonchosis in sheep.
In Veterinary parasitology ; h5-index 43.0
de Souza Lucas Fiamoncini, Costa Márcio Holsbach, Riet-Correa Beatriz
2023-Feb-28
Classifier, Famacha, Machine learning, Parasites, Small ruminants

Predicting mechanical properties of silk from its amino acid sequences via machine learning.
In Journal of the mechanical behavior of biomedical materials ; h5-index 50.0
Kim Yoonjung, Yoon Taeyoung, Park Woo B, Na Sungsoo
2023-Feb-22
Machine learning, Mechanical characterization, Sequence analysis, Silk fiber

Automatic grading of patients with a unilateral facial paralysis based on the Sunnybrook Facial Grading System - A deep learning study based on a convolutional neural network.
In American journal of otolaryngology ; h5-index 23.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Ten Harkel Timen C, de Jong Guido, Marres Henri A M, Ingels Koen J A O, Speksnijder Caroline M, Maal Thomas J J
2023-Feb-25
Convolutional neural network, Deep learning, Facial paralysis, Machine learning, Medical imaging, Sunnybrook facial grading system

Characterization of Calculus bovis by principal component analysis assisted qHNMR profiling to distinguish nefarious frauds.
In Journal of pharmaceutical and biomedical analysis
Tang Yu, Han Zhu, Zhang Han, Che Li, Liao Genjie, Peng Jun, Lin Yu, Wang Yi
2023-Mar-01
Absolute quantification, Adulteration, Calculus bovis, Quality control, qHNMR
Conventional and radiomic features to predict pathology in the preoperative assessment of anterior mediastinal masses.
In Lung cancer (Amsterdam, Netherlands)
OBJECTIVES :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Mayoral Maria, Pagano Andrew M, Araujo-Filho Jose Arimateia Batista, Zheng Junting, Perez-Johnston Rocio, Tan Kay See, Gibbs Peter, Fernandes Shepherd Annemarie, Rimner Andreas, Simone Ii Charles B, Riely Gregory, Huang James, Ginsberg Michelle S
2023-Feb-21
Artificial intelligence, Computed tomography, Machine learning, Radiomics, Thymic epithelial tumors
Weekly Summary
Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.