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PyHIST: A Histological Image Segmentation Tool.

PLoS computational biology Oct 19, 2020
The development of increasingly sophisticated methods to acquire high-resolution images has led to the generation of large collections of biomedical imaging data, including images of tissues and organs. Many of the current machine learning methods th...
Neoplasms Computational Biology Machine Learning Humans Software Skin Image Interpretation, Computer-Assisted Histocytochemistry
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Implementing logical inference based on DNA assembly.

Bio Systems Oct 14, 2020
Algorithms and information processing, fundamental to biological system, are an essential aspect of many elementary physical phenomena, such as molecular self-assembly. Self-assembly system has been proved to be capable of performing many logic opera...
Logic Models, Genetic DNA Software Algorithms Artificial Intelligence
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Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks.

Journal of chemical information and modeling Oct 14, 2020
The high-performance computational techniques have brought significant benefits for drug discovery efforts in recent decades. One of the most challenging problems in drug discovery is the protein-ligand binding pose prediction. To predict the most st...
Protein Binding Software Ligands Neural Networks, Computer Molecular Docking Simulation Proteins
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Computational planning of the synthesis of complex natural products.

Nature Oct 13, 2020
Training algorithms to computationally plan multistep organic syntheses has been a challenge for more than 50 years. However, the field has progressed greatly since the development of early programs such as LHASA, for which reaction choices at each s...
Benzylisoquinolines Chemistry Techniques, Synthetic Tetrahydroisoquinolines Indole Alkaloids Chemistry, Organic Biological Products Macrolides Knowledge Bases Indans Automation Lactones Artificial Intelligence Sesquiterpenes Software Reproducibility of Results
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Real-time unblinding for validation of a new CADe tool for colorectal polyp detection.

Gut Oct 12, 2020
Neural Networks, Computer Software Humans Diagnosis, Computer-Assisted Pilot Projects Prospective Studies Colonoscopy Colonic Polyps
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Rejoinder to Discussions on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep".

Biometrics Oct 11, 2020
We thank the discussants for sharing their unique perspectives on the problem of designing automatic algorithm change protocols (aACPs) for machine learning-based software as a medical device. Both Pennello et al. and Rose highlighted a number of cha...
Policy Software Machine Learning Algorithms
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Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of biocreep" by Jean Feng, Scott Emerson, and Noah Simon.

Biometrics Oct 11, 2020
I applaud the authors of Feng (2020) for tackling a challenging statistical problem on approval policies for software as a medical device (SaMD). Their work exploring methodology that could autonomously build algorithmic change protocols soundly ext...
Machine Learning Software Policy
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Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah Simon.

Biometrics Oct 11, 2020
Policy Machine Learning Software
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Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep.

Biometrics Oct 11, 2020
Successful deployment of machine learning algorithms in healthcare requires careful assessments of their performance and safety. To date, the FDA approves locked algorithms prior to marketing and requires future updates to undergo separate premarket ...
Research Design Machine Learning Software Policy Algorithms
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Fake metabolomics chromatogram generation for facilitating deep learning of peak-picking neural networks.

Journal of bioscience and bioengineering Oct 10, 2020
Finding peaks in chromatograms and determining their start and end points (peak picking) is a core task in chromatography based biotechnology. Construction of peak-picking neural networks by deep learning was, however, hampered from the preparation o...
Software Deep Learning Metabolomics Chromatography
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