Artificial intelligence aids in development of nanomedicines for cancer management
P Tan, X Chen, H Zhang, Q Wei, K Luo - Seminars in cancer biology, 2023 - Elsevier
Over the last decade, the nanomedicine has experienced unprecedented development in
diagnosis and management of diseases. A number of nanomedicines have been approved …
diagnosis and management of diseases. A number of nanomedicines have been approved …
Toward explainable artificial intelligence for precision pathology
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …
diagnostic pathology with respect to its ability to analyze histological images and …
Towards a general-purpose foundation model for computational pathology
Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks,
requiring the objective characterization of histopathological entities from whole-slide images …
requiring the objective characterization of histopathological entities from whole-slide images …
A visual-language foundation model for computational pathology
The accelerated adoption of digital pathology and advances in deep learning have enabled
the development of robust models for various pathology tasks across a diverse array of …
the development of robust models for various pathology tasks across a diverse array of …
Multimodal data fusion for cancer biomarker discovery with deep learning
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
Foundations & trends in multimodal machine learning: Principles, challenges, and open questions
Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …
computer agents with intelligent capabilities such as understanding, reasoning, and learning …
Artificial intelligence for digital and computational pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …
including deep learning, have boosted the field of computational pathology. This field holds …
The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID
J Li, Y Zhou, J Ma, Q Zhang, J Shao, S Liang… - … and Targeted Therapy, 2023 - nature.com
There have been hundreds of millions of cases of coronavirus disease 2019 (COVID-19),
which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With …
which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With …
Multimodal deep learning for integrating chest radiographs and clinical parameters: a case for transformers
Background Clinicians consider both imaging and nonimaging data when diagnosing
diseases; however, current machine learning approaches primarily consider data from a …
diseases; however, current machine learning approaches primarily consider data from a …
Quantifying & modeling multimodal interactions: An information decomposition framework
The recent explosion of interest in multimodal applications has resulted in a wide selection
of datasets and methods for representing and integrating information from different …
of datasets and methods for representing and integrating information from different …