Thomas Klammsteiner
Overview
Explore the profile of Thomas Klammsteiner including associated specialties, affiliations and a list of published articles.
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14
Citations
257
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Recent Articles
1.
Escobar Rodriguez C, Zaremska V, Klammsteiner T, Kampatsikas I, Munstermann N, Weichold O, et al.
Carbohydr Polym
. 2024 Dec;
349(Pt B):123023.
PMID: 39638509
The industrial use of certain insects, such as the black soldier fly (BSF, Hermetia illucens), has become a burgeoning way of converting residual biomass into a valuable source of biomolecules...
2.
Heussler C, Dittmann I, Egger B, Robra S, Klammsteiner T
Waste Biomass Valorization
. 2024 Apr;
15(4):2313-2322.
PMID: 38623455
Purpose: This study aimed to investigate the digestion process of biodegradable and non-biodegradable microplastics (MPs) within black soldier fly larvae (BSFL) and assess their impact on larval growth and development....
3.
Praeg N, Klammsteiner T
J Environ Manage
. 2024 Mar;
356:120622.
PMID: 38513580
Insect farming has gained popularity as a resource-efficient and eco-friendly method for managing organic wastes by converting them into high-quality protein, fat, and frass. Insect frass is a powerful organic...
4.
Marcos-Zambrano L, Lopez-Molina V, Bakir-Gungor B, Frohme M, Karaduzovic-Hadziabdic K, Klammsteiner T, et al.
Front Microbiol
. 2023 Dec;
14:1250806.
PMID: 38075858
The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be...
5.
Gomez-Brandon M, Beesigamukama D, Probst M, Klammsteiner T, Zhou Y, Zhu Y, et al.
Waste Manag
. 2023 Nov;
173:131-140.
PMID: 37989012
Bioconversion of livestock wastes using insect larvae represents an emerging and effective strategy for waste management. However, knowledge on the role of the garden fruit chafer (Pachnoda sinuataL.) in waste...
6.
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
DElia D, Truu J, Lahti L, Berland M, Papoutsoglou G, Ceci M, et al.
Front Microbiol
. 2023 Oct;
14:1257002.
PMID: 37808321
The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders,...
7.
Papoutsoglou G, Tarazona S, Lopes M, Klammsteiner T, Ibrahimi E, Eckenberger J, et al.
Front Microbiol
. 2023 Oct;
14:1261889.
PMID: 37808286
Microbiome data predictive analysis within a machine learning (ML) workflow presents numerous domain-specific challenges involving preprocessing, feature selection, predictive modeling, performance estimation, model interpretation, and the extraction of biological information...
8.
Zhou Y, Xiao R, Klammsteiner T, Kong X, Yan B, Mihai F, et al.
Bioresour Technol
. 2022 Jul;
360:127591.
PMID: 35809873
Composting technologies have come a long way, developing from static heaps and windrow composting to smart, artificial intelligence-assisted reactor composting. While in previous years, much attention has been paid to...
9.
Liu T, Klammsteiner T, Dregulo A, Kumar V, Zhou Y, Zhang Z, et al.
Sci Total Environ
. 2022 Apr;
833:155122.
PMID: 35405225
Livestock farming and its products provide a diverse range of benefits for our day-to-day life. However, the ever-increasing demand for farmed animals has raised concerns about waste management and its...
10.
Marcos-Zambrano L, Karaduzovic-Hadziabdic K, Loncar Turukalo T, Przymus P, Trajkovik V, Aasmets O, et al.
Front Microbiol
. 2021 Mar;
12:634511.
PMID: 33737920
The number of microbiome-related studies has notably increased the availability of data on human microbiome composition and function. These studies provide the essential material to deeply explore host-microbiome associations and...