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An analysis of decipherable red blood cell abnormality detection under federated environment leveraging XAI incorporated deep learning

The subsequent part contains the final findings of our implementation, as well as an evaluation of how well our models function to identify RBC abnormalities. For each...

Virtual resection evaluation based on sEEG propagation network for drug-resistant epilepsy

PatientsWe used two datasets: (1) Clinical data with 6 patients with 12 seizures from the neurosurgery department of Shanxi Provincial People’s Hospital; (2) HUP data with 10...

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

PRnet: perturbation-conditioned deep generative model for transcriptional response predictionIn this paper, we formulate the transcriptional response prediction as a distribution generation problem conditioned on perturbations. Cells inherently...

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Turning unused signals such as Wi-Fi into energy for electronics

We are constantly surrounded by electromagnetic waves such as Wi-Fi and Bluetooth signals. What if we could turn the unused excess into usable energy?...

Benchmarking bacterial taxonomic classification using nanopore metagenomics data of several mock communities

Performance evaluation of the different taxonomic classifiersDNA-to-DNA methodsThe evaluated DNA-to-DNA methods consisted of Kraken2, Bracken, Centrifuge, KMA and CCMetagen. Results described below are at...

Monitoring of nature reserves via social media and deep learning

Environmental biology researchers at the National University of Singapore (NUS) have developed an efficient method for rapidly identifying and classifying human activities within nature...

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