AIMC Topic: Precision Medicine

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ChatGPT: opportunities and risks in the fields of medical care, teaching, and research.

Gaceta medica de Mexico
ChatGPT is a virtual assistant with artificial intelligence (AI) that uses natural language to communicate, i.e., it holds conversations as those that would take place with another human being. It can be applied at all educational levels, including m...

Session Introduction: Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Precision medicine requires a deep understanding of complex biomedical and healthcare data, which is being generated at exponential rates and increasingly made available through public biobanks, electronic medical record systems and biomedical databa...

Artificial Intelligence Assisted Fabrication of 3D, 4D and 5D Printed Formulations or Devices for Drug Delivery.

Current drug delivery
5D & 4D printings are an advanced version of 3D printing class and are one of the most revolutionary and powerful fabrication methods used for preparing innovative structures and solid substances using precise additive manufacturing technology. It ca...

Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers.

Nucleic acids research
Cancer is a disease of gene dysregulation, where cells acquire somatic and epigenetic alterations that drive aberrant cellular signaling. These alterations adversely impact transcriptional programs and cause profound changes in gene expression. Inter...

Temporal Phenomics - A Powerful Approach Using AI to Achieve "Earlier Medicine".

Studies in health technology and informatics
The resurgence of machine learning AI has triggered the importance of collecting "personal big data" over a long period of time from wearable devices and EHRs. Collecting data from this large number of variables over a significant period of time has ...

Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.

Briefings in bioinformatics
Liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics provides systematic profiling of metabolic. Yet, its applications in precision medicine (disease diagnosis) have been limited by several challenges, including metabolite id...

Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine.

Briefings in bioinformatics
Precision medicine uses genetic, environmental and lifestyle factors to more accurately diagnose and treat disease in specific groups of patients, and it is considered one of the most promising medical efforts of our time. The use of genetics is argu...

An Active Learning Framework Improves Tumor Variant Interpretation.

Cancer research
A novel machine learning approach predicts the impact of tumor mutations on cellular phenotypes, overcomes limited training data, minimizes costly functional validation, and advances efforts to implement cancer precision medicine.

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine.

Briefings in bioinformatics
The increase in the expectations of artificial intelligence (AI) technology has led to machine learning technology being actively used in the medical field. Non-negative matrix factorization (NMF) is a machine learning technique used for image analys...

BITES: balanced individual treatment effect for survival data.

Bioinformatics (Oxford, England)
MOTIVATION: Estimating the effects of interventions on patient outcome is one of the key aspects of personalized medicine. Their inference is often challenged by the fact that the training data comprises only the outcome for the administered treatmen...