AIMC Topic: Precision Medicine

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Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine.

International journal of oncology
Clinical efforts on precision medicine are driving the need for accurate diagnostic, new prognostic and novel drug predictive assays to inform patient selection and stratification for disease treatment. Accumulating evidence suggests that a combinati...

Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity.

Computers in biology and medicine
Tumour heterogeneity is one of the critical confounding aspects in decoding tumour growth. Malignant cells display variations in their gene transcription profiles and mutation spectra even when originating from a single progenitor cell. Single-cell a...

Individual health-disease phase diagrams for disease prevention based on machine learning.

Journal of biomedical informatics
Early disease detection and prevention methods based on effective interventions are gaining attention worldwide. Progress in precision medicine has revealed that substantial heterogeneity exists in health data at the individual level and that complex...

Towards Precision Medicine in Spinal Surgery: Leveraging AI Technologies.

Annals of biomedical engineering
This critique explores the implications of integrating artificial intelligence (AI) technology, specifically OpenAI's advanced language model GPT-4 and its interface, ChatGPT, into the field of spinal surgery. It examines the potential effects of alg...

New directions in psychiatric drug development: promising therapeutics in the pipeline.

Expert opinion on drug discovery
INTRODUCTION: Psychiatric disorders are a leading cause of disability worldwide, calling for an urgent need for new treatments, early detection, early intervention, and precision medicine. Drug discovery and development in psychiatry continues to exp...

AI/ML in Precision Medicine: A Look Beyond the Hype.

Therapeutic innovation & regulatory science
Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in medical research, especially in drug discovery, digital imaging, disease diagnostics, genetic testing, and optimal care pathway (personalized care). However, the potential...

Deep learning-assisted radiomics facilitates multimodal prognostication for personalized treatment strategies in low-grade glioma.

Scientific reports
Determining the optimal course of treatment for low grade glioma (LGG) patients is challenging and frequently reliant on subjective judgment and limited scientific evidence. Our objective was to develop a comprehensive deep learning assisted radiomic...

Artificial intelligence-aided optical imaging for cancer theranostics.

Seminars in cancer biology
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accuracy and high efficiency in medical decision-making for individualized cancer medicine. In particular, optical imaging methods are able to visualize b...

Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine.

Computers in biology and medicine
Mounting evidence has highlighted the implementation of big data handling and management in the healthcare industry to improve the clinical services. Various private and public companies have generated, stored, and analyzed different types of big hea...

In the Age of Machine Learning Cryo-EM Research is Still Necessary: A Path toward Precision Medicine.

Advanced biology
Machine learning has proven useful in analyzing complex biological data and has greatly influenced the course of research in structural biology and precision medicine. Deep neural network models oftentimes fail to predict the structure of complex pro...