Network Modeling Articles & Analysis
7 articles found
The world's leading researchers joined Immunai’s second symposium dedicated to applications of Machine Learning (ML) in biology. The line-up of talks demonstrated innovative research taking place at the intersection of immunology and machine learning. ML is becoming an essential tool in every aspect of immunology. Our speakers shared their work on how they leveraged ML in their research, ...
ByImmunai
In this work, we present a battery of benchmarks meant to detect and flag models that, despite their excellent retrospective performance, are likely to poorly perform when applied prospectively. Once pathological properties of these models are identified, we show how they can be systematically corrected through a combination of data-augmentation and multi-task ...
Quantitatively predicting binding affinity accurately could greatly accelerate the drive to higher potency, opening a bigger window for addressing other drug endpoints. A global pKi prediction model across targets and ligands can bridge the gap between the initial hits and more detailed models created after target-specific data becomes available. Recently in the ...
In this paper, we examine collaboration relationships among organisations member of a community of interest in humanitarian information exchange. We use the social network block-model method to analyse collaboration network data collected from 35 international organisations. ...
Synthetic Distributed Readiness Training Environment (SDRTE) combines Advanced Distributed Interactive Simulation (A-DIS) and Medical Application Service Provider (Med-ASP) concepts into a seamlessly integrated training platform for the development and maintenance of First Responder (1RP) operational medical readiness. A synthetic substitute for the traditional, restrictive methods of training, ...
Two well-known methods are used to obtain forecasts: Box?Jenkins (BJ) ARIMA models and Artificial Neural Networks (ANNs).Keywords: forecasting, healthcare, pharmaceuticals, Spain, public health, social security expenditure, medical prescriptions, artificial neural networks, ANNs, ARIMA ...
Quantitative models describing the effect of weld composition on the solidification mode, ferrite content and process parameters on the weld bead geometry are necessary in order to design composition of the welding consumable to ensure primary ferritic solidification mode, proper ferrite content and to ensure right choice of process parameters to achieve good bead geometry. A ...