AIMC Topic: Probability

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[Shared decision-making in metaclinical medicine: from informed consent to shared probability].

Giornale italiano di cardiologia (2006) Apr 1, 2024
At the dawn of "metaclinical medicine" era, shared decision-making represents the overcoming of modern medicine guidelines and classical medicine experience. The patient's life plan, the doctor's health plan, the scientist's evidence-based plan, the ...
Humans Artificial Intelligence Informed Consent Probability Physicians Physician-Patient Relations
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An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks.

Biostatistics (Oxford, England) Dec 15, 2023
In many biomedical applications, outcome is measured as a "time-to-event" (e.g., disease progression or death). To assess the connection between features of a patient and this outcome, it is common to assume a proportional hazards model and fit a pro...
Survival Analysis Proportional Hazards Models Neural Networks, Computer Algorithms Disease Progression Humans Probability
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ActivePPI: quantifying protein-protein interaction network activity with Markov random fields.

Bioinformatics (Oxford, England) Sep 2, 2023
MOTIVATION: Protein-protein interactions (PPI) are crucial components of the biomolecular networks that enable cells to function. Biological experiments have identified a large number of PPI, and these interactions are stored in knowledge bases. Howe...
Knowledge Bases Probability Protein Interaction Maps Mass Spectrometry Phenotype
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The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data.

Bioinformatics (Oxford, England) Sep 2, 2023
MOTIVATION: Learning low-dimensional representations of single-cell transcriptomics has become instrumental to its downstream analysis. The state of the art is currently represented by neural network models, such as variational autoencoders, which us...
Single-Cell Analysis RNA Neural Networks, Computer Gene Expression Profiling Normal Distribution Probability
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One T Gate Makes Distribution Learning Hard.

Physical review letters Jun 16, 2023
The task of learning a probability distribution from samples is ubiquitous across the natural sciences. The output distributions of local quantum circuits are of central importance in both quantum advantage proposals and a variety of quantum machine ...
Algorithms Models, Statistical Probability Machine Learning
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Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift.

JNCI cancer spectrum Mar 1, 2023
On November 30, 2022, OpenAI enabled public access to ChatGPT, a next-generation artificial intelligence with a highly sophisticated ability to write, solve coding issues, and answer questions. This communication draws attention to the prospect that ...
Probability Neoplasms Humans Artificial Intelligence Health Personnel Communication
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Digitally predicting protein localization and manipulating protein activity in fluorescence images using 4D reslicing GAN.

Bioinformatics (Oxford, England) Jan 1, 2023
MOTIVATION: While multi-channel fluorescence microscopy is a vital imaging method in biological studies, the number of channels that can be imaged simultaneously is limited by technical and hardware limitations such as emission spectra cross-talk. On...
Neural Networks, Computer Probability Software Protein Transport Microscopy, Fluorescence
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Embryologist agreement when assessing blastocyst implantation probability: is data-driven prediction the solution to embryo assessment subjectivity?

Human reproduction (Oxford, England) Sep 30, 2022
STUDY QUESTION: What is the accuracy and agreement of embryologists when assessing the implantation probability of blastocysts using time-lapse imaging (TLI), and can it be improved with a data-driven algorithm?
Artificial Intelligence Retrospective Studies Blastocyst Embryo Culture Techniques Fertilization in Vitro Humans Female Probability Embryo Implantation
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BITES: balanced individual treatment effect for survival data.

Bioinformatics (Oxford, England) Jun 24, 2022
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...
Computer Simulation Humans Precision Medicine Neural Networks, Computer Software Probability
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Survival prediction model for right-censored data based on improved composite quantile regression neural network.

Mathematical biosciences and engineering : MBE May 20, 2022
With the development of the field of survival analysis, statistical inference of right-censored data is of great importance for the study of medical diagnosis. In this study, a right-censored data survival prediction model based on an improved compos...
Probability Algorithms Neural Networks, Computer Survival Analysis Computer Simulation
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