AIMC Topic: Precision Medicine
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Improving deep-learning electrocardiogram classification with an effective coloring method.
Artificial intelligence in medicine
Feb 9, 2024
Cardiovascular diseases, particularly arrhythmias, remain a leading cause of mortality worldwide. Electrocardiogram (ECG) analysis plays a pivotal role in cardiovascular disease diagnosis. Although previous studies have focused on waveform analysis a...
[Explainable artificial intelligence in pathology].
Pathologie (Heidelberg, Germany)
Feb 5, 2024
With the advancements in precision medicine, the demands on pathological diagnostics have increased, requiring standardized, quantitative, and integrated assessments of histomorphological and molecular pathological data. Great hopes are placed in art...
A systematic analysis of deep learning in genomics and histopathology for precision oncology.
BMC medical genomics
Feb 5, 2024
BACKGROUND: Digitized histopathological tissue slides and genomics profiling data are available for many patients with solid tumors. In the last 5 years, Deep Learning (DL) has been broadly used to extract clinically actionable information and biolog...
Creative and generative artificial intelligence for personalized medicine and healthcare: Hype, reality, or hyperreality?
Experimental biology and medicine (Maywood, N.J.)
Feb 4, 2024
Deep learning-guided adjuvant chemotherapy selection for elderly patients with breast cancer.
Breast cancer research and treatment
Jan 31, 2024
PURPOSE: The efficacy of adjuvant chemotherapy in elderly breast cancer patients is currently controversial. This study aims to provide personalized adjuvant chemotherapy recommendations using deep learning (DL).
Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review).
Oncology reports
Jan 19, 2024
Artificial intelligence (AI) has emerged as a crucial technique for extracting high‑throughput information from various sources, including medical images, pathological images, and genomics, transcriptomics, proteomics and metabolomics data. AI has be...
Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed Precision Medicine.
Clinical pharmacology and therapeutics
Jan 16, 2024
The increasing breadth and depth of resolution in biological and clinical data, including -omics and real-world data, requires advanced analytical techniques like artificial intelligence (AI) and machine learning (ML) to fully appreciate the impact o...
Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence.
IEEE reviews in biomedical engineering
Jan 12, 2024
With the recent advancement of novel biomedical technologies such as high-throughput sequencing and wearable devices, multi-modal biomedical data ranging from multi-omics molecular data to real-time continuous bio-signals are generated at an unpreced...
Practical challenges for precision medicine.
Science (New York, N.Y.)
Jan 11, 2024
The prediction of individual treatment responses with machine learning faces hurdles.
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine.
Clinical pharmacology and therapeutics
Jan 3, 2024
Technological innovations, such as artificial intelligence (AI) and machine learning (ML), have the potential to expedite the goal of precision medicine, especially when combined with increased capacity for voluminous data from multiple sources and e...
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