AIMC Topic: Pathology, Molecular

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Physically grounded deep learning-enabled gold nanoparticle localization and quantification in photonic resonator absorption microscopy for digital resolution molecular diagnostics.

Biosensors & bioelectronics Apr 9, 2025
Accurate molecular biomarker detection with digital-resolution sensitivity is essential for applications such as disease diagnostics, therapeutic studies, and biomedical research. Here, we present LOCA-PRAM (LOcalization with Context Awareness), a de...
Humans Deep Learning Microscopy Photons Pathology, Molecular Gold Metal Nanoparticles Biosensing Techniques
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A Perspective on Artificial Intelligence for Molecular Pathologists.

The Journal of molecular diagnostics : JMD Feb 13, 2025
The widespread adoption of next-generation sequencing technology in molecular pathology has enabled us to interrogate the genome as never before. The huge quantities of data generated by sequencing, the enormous complexity of human and microbial gene...
Pathology, Molecular Pathologists High-Throughput Nucleotide Sequencing Humans Machine Learning Artificial Intelligence Computational Biology
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[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...
Pathology, Molecular Artificial Intelligence Precision Medicine Hope
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Deep Learning Assisted Surface-Enhanced Raman Spectroscopy (SERS) for Rapid and Direct Nucleic Acid Amplification and Detection: Toward Enhanced Molecular Diagnostics.

ACS nano Sep 13, 2023
Surface-enhanced Raman scattering (SERS) has evolved into a robust analytical technique capable of detecting a variety of biomolecules despite challenges in securing a reliable Raman signal. Conventional SERS-based nucleic acid detection relies on hy...
Humans COVID-19 Spectrum Analysis, Raman Zinc Oxide COVID-19 Testing Reproducibility of Results Deep Learning Nucleic Acids Pathology, Molecular
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[Artificial intelligence: a solution for the lack of pathologists?].

Der Pathologe Apr 11, 2022
Given the rapid developments, there is no doubt that artificial intelligence (AI) will substantially impact pathological diagnostics. However, it remains an open question if AI will primarily be another diagnostic tool, such as immunohistochemistry, ...
Pathology, Molecular Pathologists Immunohistochemistry Artificial Intelligence Forecasting Humans
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Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study.

EBioMedicine Oct 19, 2021
BACKGROUND: To reduce the high incidence and mortality of gastric cancer (GC), we aimed to develop deep learning-based models to assist in predicting the diagnosis and overall survival (OS) of GC patients using pathological images.
Immunohistochemistry Pathology, Molecular Area Under Curve Female ROC Curve Stomach Neoplasms Neoplasm Staging Image Processing, Computer-Assisted Male Neoplasm Grading Deep Learning Humans Biomarkers, Tumor Algorithms Retrospective Studies
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Explaining multivariate molecular diagnostic tests via Shapley values.

BMC medical informatics and decision making Jul 8, 2021
BACKGROUND: Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests. However, the way in which the resulting scores or classifications are produced ...
Machine Learning Algorithms Humans Cohort Studies Pathology, Molecular
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Deep learning in histopathology: the path to the clinic.

Nature medicine May 14, 2021
Machine learning techniques have great potential to improve medical diagnostics, offering ways to improve accuracy, reproducibility and speed, and to ease workloads for clinicians. In the field of histopathology, deep learning algorithms have been de...
Deep Learning Pathology, Molecular Humans Algorithms Precision Medicine
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Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review.

Acta cytologica Apr 30, 2021
This short article describes the method of digital cytopathology using Z-stack scanning with or without extended focusing. This technology is suitable to observe such thick clusters as adenocarcinoma on cytologic specimens. Artificial intelligence (A...
Adenocarcinoma of Lung Pathology, Molecular Diagnosis, Computer-Assisted Humans Image Processing, Computer-Assisted Mutation Automation, Laboratory Artificial Intelligence Lung Neoplasms DNA Mutational Analysis Reproducibility of Results Molecular Diagnostic Techniques ErbB Receptors Predictive Value of Tests
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Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics.

EMBO molecular medicine Feb 12, 2020
Limited therapy options due to antibiotic resistance underscore the need for optimization of current diagnostics. In some bacterial species, antimicrobial resistance can be unambiguously predicted based on their genome sequence. In this study, we seq...
Pseudomonas aeruginosa Drug Resistance, Bacterial Pathology, Molecular Machine Learning Genome, Bacterial Transcriptome Anti-Bacterial Agents Microbial Sensitivity Tests
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