AI Medical Compendium Journal:
Angewandte Chemie (International ed. in English)

Showing 11 to 20 of 27 articles

Science-Driven Atomistic Machine Learning.

Angewandte Chemie (International ed. in English)
Machine learning (ML) algorithms are currently emerging as powerful tools in all areas of science. Conventionally, ML is understood as a fundamentally data-driven endeavour. Unfortunately, large well-curated databases are sparse in chemistry. In this...

Multiplex Identification of Post-Translational Modifications at Point-of-Care by Deep Learning-Assisted Hydrogel Sensors.

Angewandte Chemie (International ed. in English)
Multiplex detection of protein post-translational modifications (PTMs), especially at point-of-care, is of great significance in cancer diagnosis. Herein, we report a machine learning-assisted photonic crystal hydrogel (PCH) sensor for multiplex dete...

Integrating Computation, Experiment, and Machine Learning in the Design of Peptide-Based Supramolecular Materials and Systems.

Angewandte Chemie (International ed. in English)
Interest in peptide-based supramolecular materials has grown extensively since the 1980s and the application of computational methods has paralleled this. These methods contribute to the understanding of experimental observations based on interaction...

Machine Learning Informs RNA-Binding Chemical Space.

Angewandte Chemie (International ed. in English)
Small molecule targeting of RNA has emerged as a new frontier in medicinal chemistry, but compared to the protein targeting literature our understanding of chemical matter that binds to RNA is limited. In this study, we reported Repository Of BInders...

Deep Learning-Enhanced Potentiometric Aptasensing with Magneto-Controlled Sensors.

Angewandte Chemie (International ed. in English)
Bioelectronic sensors that report charge changes of a biomolecule upon target binding enable direct and sensitive analyte detection but remain a major challenge for potentiometric measurement, mainly due to Debye Length limitations and the need for m...

A Deep-Learning Framework for the Automated Recognition of Molecules in Scanning-Probe-Microscopy Images.

Angewandte Chemie (International ed. in English)
Computer vision as a subcategory of deep learning tackles complex vision tasks by dealing with data of images. Molecular images with exceptionally high resolution have been achieved thanks to the development of techniques like scanning probe microsco...

Machine Learning for Chemical Reactivity: The Importance of Failed Experiments.

Angewandte Chemie (International ed. in English)
Assessing the outcomes of chemical reactions in a quantitative fashion has been a cornerstone across all synthetic disciplines. Classically approached through empirical optimization, data-driven modelling bears an enormous potential to streamline thi...

Matthias Schiedel.

Angewandte Chemie (International ed. in English)
"The greatest scientific advance of the next decade will be the implementation of artificial intelligence in any kind of academic discipline … When I was a kid I wanted to be a rock star …" Find out more about Matthias Schiedel in his Introducing … P...

Manipulation of Multiple Cell-Cell Interactions by Tunable DNA Scaffold Networks.

Angewandte Chemie (International ed. in English)
Manipulation of cell-cell interactions via cell surface engineering has potential biomedical applications in tissue engineering and cell therapy. However, manipulation of the comprehensive and multiple intercellular interactions remains a challenge a...

Deep Learning for Voltammetric Sensing in a Living Animal Brain.

Angewandte Chemie (International ed. in English)
Numerous neurochemicals have been implicated in the modulation of brain function, making them appealing analytes for sensors and diagnostics. However, it is a grand challenge to selectively measure multiple neurochemicals simultaneously in vivo becau...