Machine learning methods in drug discovery
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
Bridging live-cell imaging and next-generation cancer treatment
M Alieva, AKL Wezenaar, EJ Wehrens… - Nature Reviews Cancer, 2023 - nature.com
By providing spatial, molecular and morphological data over time, live-cell imaging can
provide a deeper understanding of the cellular and signalling events that determine cancer …
provide a deeper understanding of the cellular and signalling events that determine cancer …
Multi-disease prediction based on deep learning: a survey
S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …
AI's research in the medical field have allowed people to see the excellent prospects of the …
[HTML][HTML] Organ-on-a-chip meets artificial intelligence in drug evaluation
S Deng, C Li, J Cao, Z Cui, J Du, Z Fu, H Yang… - Theranostics, 2023 - ncbi.nlm.nih.gov
Drug evaluation has always been an important area of research in the pharmaceutical
industry. However, animal welfare protection and other shortcomings of traditional drug …
industry. However, animal welfare protection and other shortcomings of traditional drug …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
[HTML][HTML] An overview of organs-on-chips based on deep learning
Microfluidic-based organs-on-chips (OoCs) are a rapidly developing technology in
biomedical and chemical research and have emerged as one of the most advanced and …
biomedical and chemical research and have emerged as one of the most advanced and …
Trends and potential of machine learning and deep learning in drug study at single-cell level
Cancer treatments always face challenging problems, particularly drug resistance due to
tumor cell heterogeneity. The existing datasets include the relationship between gene …
tumor cell heterogeneity. The existing datasets include the relationship between gene …
Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs
The dynamic contrast-enhanced MR imaging plays a crucial role in evaluating the
effectiveness of neoadjuvant chemotherapy (NAC) even since its early stage through the …
effectiveness of neoadjuvant chemotherapy (NAC) even since its early stage through the …
Bridging the gap between tumor-on-chip and clinics: a systematic review of 15 years of studies
Over the past 15 years, the field of oncology research has witnessed significant progress in
the development of new cell culture models, such as tumor-on-chip (ToC) systems. In this …
the development of new cell culture models, such as tumor-on-chip (ToC) systems. In this …
In situ biosensing technologies for an organ-on-a-chip
The in vitro simulation of organs resolves the accuracy, ethical, and cost challenges
accompanying in vivo experiments. Organoids and organs-on-chips have been developed …
accompanying in vivo experiments. Organoids and organs-on-chips have been developed …