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Neoplasms

Nervous System Diseases

Congenital Disorders

Small molecule drug

Biological products

Molecular glue

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A glimpse into the focused therapeutic areas

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Most used technologies in drug development

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Disease Domain	Count

Neoplasms	3
Nervous System Diseases	2

Top 5 Drug Type	Count

Small molecule drug	2
Molecular glue	1
Trispecific killer cell engager (TriKE)	1
Biological products	1

Top 5 Target	Count

γ-secretase(Gamma-secretase)	1
FKBP1A x mTOR	1
EGFR x MerTK	1
CD16a x EGFR x PDL1	1

Organic micropollutants (OMP) are ubiquitous in aquatic ecosystems and have a proven neg. impact on the environment and drinking water resources.To remove OMP from municipal wastewater, the use of superfine Powd. Activated Carbon (sPAC) (d₅₀ = 1.0 μm) compared to Powd. Activated Carbon (PAC) (d₅₀ = 30.1 μm) was tested in combination with Pile Cloth Media Filtration (PCMF). sPAC was produced by ball milling PAC to a d₅₀ of 1.0 μm.No difference was found between the grinding time or energy demand when grinding different raw materials.Different Pile Cloth Media (PCM) were investigated for sPAC retention.The Ultrafiber UF-10 demonstrated superior efficiency in removing sPAC and achieved a turbidity reduction of over 90 % and a total phosphorus concentration (TP) of 40 μg/L, outperforming Microfiber PES-14, which only achieved turbidity reductions of 50 - 80 % and TP concentrations of 80 μg/L.The contact time of sPAC and wastewater before the PCMF was between 0.5 and 8 min depending on the filter velocities (v_F) (1.0 - 9.0 m/h).A contact time < 2 min in front of the PCMF and 6 - 8 mg sPAC/L was necessary for over 80 % removal of OMP across the entire WWTP.Flocculation and coagulation of sPAC with iron(III)chloride was essential for sufficient sPAC removal with PCMF.With dosage of 150 - 500 mg Fe³⁺/g AC and the use of UF-10, a residual concentration of sPAC in the PCMF effluent of < 0.2 mg/L was achieved.The energy requirement of the process, including the grinding process of the sPAC production, was around 27 Wh/m³ (v_F = 5 m/h, sPAC = 10 mg/L).

01 Apr 2025·Computer Physics Communications

An unstructured geometrical un-split VOF method for viscoelastic two-phase flows

Author: Niethammer, Matthias ; Bothe, Dieter ; Asghar, Muhammad Hassan ; Maric, Tomislav

Since viscoelastic two-phase flows arise in various industrial and natural processes, developing accurate and efficient software for their detailed numerical simulation is a highly relevant and challenging research task.We present a geometrical unstructured Volume-of-Fluid (VOF) method for handling two-phase flows with viscoelastic liquid phase, where the latter is modeled via generic rate-type constitutive equations and a one-field description is derived by conditional volume averaging of the local instantaneous bulk equations and interface jump conditions.The method builds on the plicRDF-isoAdvector geometrical VOF solver that is extended and combined with the modular framework DeboRheo for viscoelastic computational fluid dynamics (CFD).A piecewise-linear geometrical interface reconstruction technique on general unstructured meshes is employed for discretizing the viscoelastic stresses across the fluid interface.DeboRheo facilitates a flexible combination of different rheol. models with appropriate stabilization methods to address the high Weissenberg number problem.Program Title: DeboRheoCPC Library link to program files:https://doi-org.libproxy1.nus.edu.sg/10.17632/gsgdrjm2md.1Developer′s repository link:https://gitlab.com/deborheo/deborheorelease/Licensing provisions: GPLv3Programming language: C++Nature of problem: DNS of viscoelastic two-phase flows encounters major challenges due to abrupt changes of phys. properties and rheol. behaviors of the two phases at the fluid interface, and viscoelastic flows characterized with high Weissenberg numbers introduce addnl. numerical challenges.Solution method: A geometrical unstructured Volume-of-Fluid (VOF) method for handling two-phase flows with a viscoelastic liquid phase, where the latter is modeled by generic rate-type constitutive equations.Appropriate stabilization techniques are included to address the High Weissenberg Number Problem (HWNP).

100 Deals associated with Technische Universität Darmstadt

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100 Translational Medicine associated with Technische Universität Darmstadt

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Pipeline

Pipeline Snapshot as of 18 Feb 2025

The statistics for drugs in the Pipeline is the current organization and its subsidiaries are counted as organizations,Early Phase 1 is incorporated into Phase 1, Phase 1/2 is incorporated into phase 2, and phase 2/3 is incorporated into phase 3

Preclinical

5

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Current Projects

Drug(Targets)	Indications	Global Highest Phase

FKBP12-mTOR molecular glues(Technical University of Darmstadt) ( FKBP1A x mTOR )	Neoplasms More	Preclinical
MerK28-7D9G ( EGFR x MerTK )	Neoplasms More	Preclinical
Trispecific NK cell engager(Ferring ) ( CD16a x EGFR x PDL1 )	Neoplasms More	Preclinical
SAFit-2	Huntington Disease More	Preclinical
γ-secretase modulators( Technische Universität Darmstadt) ( γ-secretase )	Alzheimer Disease More	Preclinical