30 documents found, page 1 of 3

HYBpy

Hybrid modeling is gaining prominence in various industrial sectors because it offers a flexible balance between mechanistic and data-driven modeling. However, the adoption of such hybrid modeling techniques has been rather limited. Only few expert researchers using in-house tools have technical background and skills to develop such hybrid models worldwide. Additionally, freely available and user-friendly softw...

Bottlenecks in advancing and applying multiomic data integration—common data re...

Despite striking successes in identifying novel biomarkers for improved patient stratification and predicting disease progression, numerous challenges remain in the effective integration and exploitation of multiomic data in biomedical applications beyond cancer, for which most bioinformatics strategies are developed and validated. That focus on cancer severely limits the effective development and advancement o...

Bioprocess model-predictive control with physics-informed neural networks

Many previous studies have investigated the economic production of polyhydroxyalkanoates (PHA) by natural microbiomes. A key underlying strategy is the feast and famine (F/F) feeding regimen for bacteria selection. For this purpose, a sequencing batch reactor (SBR) is commonly operated in a sequence of F/F cycles until an evolved microbiome is attained with high PHA storage capacity. The effectiveness of this p...

On the challenges of predicting treatment response in Hodgkin’s Lymphoma using ...

Background: Despite the advancements in multiagent chemotherapy in the past years, up to 10% of Hodgkin’s Lymphoma (HL) cases are refractory to treatment and, after remission, patients experience an elevated risk of death from all causes. These complications are dependent on the treatment and therefore an increase in the prognostic accuracy of HL can help improve these outcomes and control treatment-related tox...

IPOscore: an interactive web-based platform for postoperative surgical complica...

Background: The performance of traditional risk score systems to predict (post)-operative outcomes is limited. This weakness reduces confidence in its use to support clinical risk mitigation decisions. However, the rapid growth of health data in the last years offers principles to deal with some of these limitations. In this regard, the data allows the extraction of relevant information for both patients strati...

Time-lagged correlation analysis of Shellfish toxicity reveals predictive links...

Diarrhetic Shellfish Poisoning (DSP) is an acute intoxication caused by the consumption of contaminated shellfish, which is common in many regions of the world. To safeguard human health, most countries implement programs focused on the surveillance of toxic phytoplankton abundance and shellfish toxicity levels, an effort that can be complemented by a deeper understanding of the underlying phenomena. In this wo...

Meat quality of Santa Inês and F1 Santa Inês X Dorper Lambs

Foram selecionados ao acaso 50 cordeiros não castrados (25 da raça Santa Inês e 25 F1 Santa Inês x Dorper) para a avaliação da cronologia dentária, peso vivo ao abate, altura de cernelha e de garupa, comprimento corporal e perímetro torácico. Após a sangria, analisou-se a temperatura e pH em diferentes intervalos de tempo (4h; 12h e 24h) nos músculos Semitendinosus e Triceps brachii e força de corte em 48h no m...

BacHBerry: BACterial Hosts for production of Bioactive phenolics from bERRY fruits

BACterial Hosts for production of Bioactive phenolics from bERRY fruits (BacHBerry) was a 3-year project funded by the Seventh Framework Programme (FP7) of the European Union that ran between November 2013 and October 2016. The overall aim of the project was to establish a sustainable and economically-feasible strategy for the production of novel high-value phenolic compounds isolated from berry fruits using ba...

Bioactivity of the recombinant human antimicrobial peptide LL37 : a key role in...

Exploring the gap between dynamic and constraint-based models of metabolism

Systems biology provides new approaches for metabolic engineering through the development of models and methods for simulation and optimization of microbial metabolism. Here we explore the relationship between two modeling frameworks in common use namely, dynamic models with kinetic rate laws and constraint-based flux models. We compare and analyze dynamic and constraint-based formulations of the same model of ...