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

Using machine learning method to identify MYLK as a novel marker to predict biochemical recurrence in prostate cancer.
In Biomarkers in medicine
Qiao Peng, Zhang Di, Zeng Song, Wang Yicun, Wang Biao, Hu Xiaopeng
2021-Jan
biochemical recurrence, bioinformatics analysis, biomarker, prostate cancer

Multi disease-prediction framework using hybrid deep learning: an optimal prediction model.
In Computer methods in biomechanics and biomedical engineering
Ampavathi Anusha, Saradhi T Vijaya
2021-Jan-11
Big Data, Jaya algorithm, Jaya algorithm-based multi-verse optimization algorithm, UCI repository, data normalization, deep belief network, healthcare sector, multi-verse optimization, recurrent neural network
Identifying knowledge gaps in heart failure research among women using unsupervised machine-learning methods.
In Future cardiology
Alhussain Khalid, Kido Kazuhiko, Dwibedi Nilanjana, LeMasters Traci, Rose Danielle E, Misra Ranjita, Sambamoorthi Usha
2021-Jan-11
heart failure research, postmenopausal women, topic modeling, unsupervised learning, women
Investigating the feasibility of generating dual-energy CT from one 120-kVp CT scan: a phantom study.
In Journal of applied clinical medical physics ; h5-index 28.0
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Huang Wen-Hui, Jhan Kai-Jie, Yang Ching-Ching
2020-Oct-14
deep learning, dual energy CT, pseudo CT

Contemporary training methods in regional anaesthesia: fundamentals and innovations.
In Anaesthesia ; h5-index 53.0
Ramlogan R R, Chuan A, Mariano E R
2021-01
artificial intelligence, competency-based training, medical education, regional anaesthesia, simulation, technology

Automatic Lung Health Screening Using Respiratory Sounds.
In Journal of medical systems ; h5-index 48.0
Mukherjee Himadri, Sreerama Priyanka, Dhar Ankita, Obaidullah Sk Md, Roy Kaushik, Mahmud Mufti, Santosh K C
2021-Jan-11
Healthcare, Lung health, Respiratory infection, Respiratory sound
Weekly Summary
Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.