Bioterrorism

Response to letter to the editor regarding "Robotic and navigated pedicle screws are safer and more accurate than freehand screws: a systematic review and meta-analysis".

Enhancement of alkaline protease production in recombinant Bacillus licheniformis by response surface methodology.

Alkaline protease is widely used in the food, detergent, and pharmaceutical industries because of it...

Deep learning of endoscopic features for the assessment of neoadjuvant therapy response in locally advanced rectal cancer.

BACKGROUND: For locally advanced rectal cancer (LARC), accurate response evaluation is necessary to ...

Neural network based integration of assays to assess pathogenic potential.

Limited data significantly hinders our capability of biothreat assessment of novel bacterial strains...

Rethinking assessment in response to generative artificial intelligence.

Graph Transformer for Drug Response Prediction.

Previous models have shown that learning drug features from their graph representation is more effic...

Precision engineering of biological function with large-scale measurements and machine learning.

As synthetic biology expands and accelerates into real-world applications, methods for quantitativel...

Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.

OBJECTIVES: To investigate the predictive performance of the deep learning radiomics (DLR) model int...

Short: Prediction of fetal blood oxygen content in response to partial occlusion of maternal aorta.

Acute hemorrhage in pregnancy may lead to maternal and/or fetal morbidity or mortality. In emergency...

Response to: Aye, AI! ChatGPT passes multiple-choice family medicine exam.

Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology.

In this article, the optimization of the specific urease activity (SUA) and the calcium carbonate (C...

Modelling daily plant growth response to environmental conditions in Chinese solar greenhouse using Bayesian neural network.

Understanding how plants respond to environmental conditions such as temperature, CO, humidity, and ...

FDI and Wellbeing: A Key Node Analysis for Psychological Health in Response to COVID-19 Using Artificial Intelligence.

Developing countries are primary destinations for FDI from emerging economies following the World In...

Response to 'Re. Artificial Intelligence Outperforms Kaplan-Meier Analyses Estimating Survival After Elective Treatment of Abdominal Aortic Aneurysms'.

Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction.

Cancer immunotherapy is a method of controlling and eliminating tumors by reactivating the body's ca...

Molecular and functional imaging in cancer-targeted therapy: current applications and future directions.

Targeted anticancer drugs block cancer cell growth by interfering with specific signaling pathways v...

Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm.

The main aim of the present study was to establish a relationship model between bio-hydrogen yield a...

Quantifying Inflammatory Response and Drug-Aided Resolution in an Atopic Dermatitis Model with Deep Learning.

Noninvasive quantification of dermal diseases aids efficacy studies and paves the way for broader en...

EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation.

Neural open-domain dialogue systems often fail to engage humans in long-term interactions on popular...

A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction.

BACKGROUND: Recent years have seen a surge of novel neural network architectures for the integration...

DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics.

Modern oncology offers a wide range of treatments and therefore choosing the best option for particu...