Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.
Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes.
In Breast disease
OBJECTIVES :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Ferre Romuald, Elst Janne, Senthilnathan Seanthan, Lagree Andrew, Tabbarah Sami, Lu Fang-I, Sadeghi-Naini Ali, Tran William T, Curpen Belinda
2023
HER2+ breast cancer, Machine learning, triple negative breast cancer, ultrasound

The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases.
In Heliyon
Hansun Seng, Charles Vincent, Gherman Tatiana
2023-Mar
COVID-19, Confirmed cases, Deep learning, LSTM, Mass vaccination

Predicting Chemical End-of-Life Scenarios Using Structure-Based Classification Models.
In ACS sustainable chemistry & engineering
Hernandez-Betancur Jose D, Ruiz-Mercado Gerardo J, Martin Mariano
2023-Mar-06

Utility of a machine-guided tool for assessing risk behaviour associated with contracting HIV in three sites in South Africa.
In Informatics in medicine unlocked
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSIONS :
Majam M, Segal B, Fieggen J, Smith Eli, Hermans L, Singh L, Phatsoane M, Arora L, Lalla-Edward S T
2023
HIV, HIV risk Assessment, ML, Machine guided tool, Machine learning, PrEP, Predictive analysis, Supervised learning
A predictive model for personalization of nanotechnology-based phototherapy in cancer treatment.
In Frontiers in oncology
Varon Eli, Blumrosen Gaddi, Shefi Orit
2022
PDT (photodynamic therapy), PTT (photothermal therapy), biomedical model development, cancer, personalized medicine, prediction medicine, radiation
Association between serum folate levels and blood eosinophil counts in American adults with asthma: Results from NHANES 2011-2018.
In Frontiers in immunology ; h5-index 100.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Wen Jun, Wang Changfen, Giri Mohan, Guo Shuliang
2023
asthma, eosinophil, folate, machine learning, national health and nutrition examination survey
Weekly Summary
Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.