Lateralizing value of interictal epileptiform discharges and other parameters in hypothalamic hamartoma.

Objective: Hypothalamic hamartomas (HHs) are associated with pharmacoresistant epilepsy. Stereotactic radiofrequency thermocoagulation (SRT) shows promise as a disconnecting intervention. Although magnetic resonance imaging (MRI) is typically used to determine the attachment and intervention side, it presents challenges in cases of bilaterally attached HH, where the epileptogenic side is unclear.

Tissue concepts: Supervised foundation models in computational pathology.

Due to the increasing workload of pathologists, the need for automation to support diagnostic tasks and quantitative biomarker evaluation is becoming more and more apparent. Foundation models have the potential to improve generalizability within and across centers and serve as starting points for data efficient development of specialized yet robust AI models. However, the training of foundation models themselves is usually very expensive in terms of data, computation, and time.

How to protect the proximal bronchial tree during stereotactic radiotherapy of ultracentral lung tumors: Lessons from MR-guided treatment.

Purpose: To use imaging data from stereotactic MR-guided online adaptive radiotherapy (SMART) of ultracentral lung tumors (ULT) for development of a safe non-adaptive approach towards stereotactic body radiotherapy (SBRT) of ULT.

Patients And Methods: Analysis is based on 19 patients with ULT who received SMART (10 × 5.0-5.

Noninvasive blood-brain barrier integrity mapping in patients with high-grade glioma and metastasis by multi-echo time-encoded arterial spin labeling.

Purpose: In brain tumors, disruption of the blood-brain barrier (BBB) indicates malignancy. Clinical assessment is qualitative; quantitative evaluation is feasible using the K leakage parameter from dynamic susceptibility contrast MRI. However, contrast agent-based techniques are limited in patients with renal dysfunction and insensitive to subtle impairments.

Quantum key distribution implemented with d-level time-bin entangled photons.

High-dimensional photon states (qudits) are pivotal to enhance the information capacity, noise robustness, and data rates of quantum communications. Time-bin entangled qudits are promising candidates for implementing high-dimensional quantum communications over optical fiber networks with processing rates approaching those of classical telecommunications. However, their use is hindered by phase instability, timing inaccuracy, and low scalability of interferometric schemes needed for time-bin processing.

Solvation Dynamics of Thermoresponsive Polymer Films: The Influence of Salt Series in Water and Mixed Water/Methanol Atmosphere.

Understanding the salt effects on solvation behaviors of thermoresponsive polymers is crucial for designing and optimizing responsive systems suitable for diverse environments. In this work, the effect of potassium salts (CHCOOK, KCl, KBr, KI, and KNO) on solvation dynamics of poly(4-(N-(3'-methacrylamidopropyl)-N,N-dimethylammonio) butane-1-sulfonate) (PSBP), poly(N-isopropylmethacrylamide) (PNIPMAM), and PSBP-b-PNIPMAM films is investigated under saturated water and mixed water/methanol vapor via advanced in situ neutron/optical characterization techniques. These findings reveal that potassium salts enhance the films' hygroscopicity or methanol-induced swellability.

A novel engineered strain of Methylorubrum extorquens for methylotrophic production of glycolic acid.

The conversion of CO into methanol depicts one of the most promising emerging renewable routes for the chemical and biotech industry. Under this regard, native methylotrophs have a large potential for converting methanol into value-added products but require targeted engineering approaches to enhance their performances and to widen their product spectrum. Here we use a systems-based approach to analyze and engineer M.

[From imaging to interaction with 3D models: technical aspects].

Augmented and virtual reality (AR and VR, respectively) are already being used or evaluated in some medical fields: however, the widespread application is still hampered by inconsistent and often confusing terminology, in particular for people who are not familiar with current developments. Additionally, the technical principles and requirements for its use are often insufficiently well known. This overview article therefore aims to clarify the most important terminology and presents the current technical state of the art, spanning from the requirements of medical imaging, through 3D models and the various forms of visualization to the interaction possibilities within VR and AR.

Effect of IV Thrombolysis With Alteplase in Patients With Vessel Occlusion in the WAKE-UP Trial.

Background And Objectives: Data from randomized trials on the treatment effect of pure thrombolysis in patients with vessel occlusion are lacking. We examined data from a corresponding subsample of patients from the multicenter, randomized, placebo-controlled WAKE-UP trial to determine whether MRI-guided IV thrombolysis with alteplase in unknown-onset ischemic stroke benefits patients presenting with vessel occlusion.

Methods: Patients with an acute ischemic lesion visible on MRI diffusion-weighted imaging but no marked parenchymal hyperintensity on fluid-attenuated inversion recovery images were randomized to treatment with IV alteplase or placebo.

Mortality in adult patients with chronic spontaneous urticaria: A real-world cohort study.

Background: Chronic spontaneous urticaria (CSU), a common and debilitating disease, is widely held not to be life limiting, but the mortality of CSU has not been investigated.

Objective: We sought to assess all-cause mortality in patients with CSU, risk for comorbidities that are leading causes of death, and impact of guideline-recommended urticaria treatments on mortality rates.

Methods: This was a retrospective population-based cohort study of electronic health records of 272,190 adult patients with CSU and 12,728,913 controls without urticaria from the US collaborative network TriNetX.

Assessing Human Lung Pharmacokinetics Using Exhaled Breath Particles.

It remains challenging to quantify lung pharmacokinetics (PK) of a drug administered and targeted to act in the lung. Exhaled breath particles (PEx), which are generated when collapsed distal airways reopen during inhalation, offer a noninvasive way to access undiluted epithelial lining fluid (ELF). Therefore, it was the aim of this study to investigate whether PK data can be derived from PEx.

[Establishment of a German ICCR dataset : Translation and integration of SNOMED CT using the example of TUR-B].

Background: The structured recording of data from histopathological findings and their interoperability is critical for quality assurance in pathology.

Materials And Methods: To harmonize the content of the reports, the International Collaboration on Cancer Reporting (ICCR) has defined standardized datasets. These datasets are not yet available in German nationwide.

Immune digital twins for complex human pathologies: applications, limitations, and challenges.

Digital twins represent a key technology for precision health. Medical digital twins consist of computational models that represent the health state of individual patients over time, enabling optimal therapeutics and forecasting patient prognosis. Many health conditions involve the immune system, so it is crucial to include its key features when designing medical digital twins.

Association of the glucose patterns after a single nonstandardized meal with the habitual diet composition and features of the daily glucose profile in individuals without diabetes.

Background: The postprandial glucose response (PPGR), contributing to the glycemic variability (GV), is positively associated with cardiovascular disease risk in people without diabetes, and can thus represent a target for cardiometabolic prevention strategies.

Objectives: The study aimed to distinguish patterns of PPGR after a single nonstandardized meal and to evaluate their relationship with the habitual diet and the daily glucose profile (DGP) in individuals at high-cardiometabolic risk.

Methods: Baseline 4-d continuous glucose monitoring was performed in 159 adults recruited in the MEDGI-Carb trial.

Voice Assessment in Patients with Amyotrophic Lateral Sclerosis: An Exploratory Study on Associations with Bulbar and Respiratory Function.

Background: Speech production is a possible way to monitor bulbar and respiratory functions in patients with amyotrophic lateral sclerosis (ALS). Moreover, the emergence of smartphone-based data collection offers a promising approach to reduce frequent hospital visits and enhance patient outcomes. Here, we studied the relationship between bulbar and respiratory functions with voice characteristics of ALS patients, alongside a speech therapist's evaluation, at the convenience of using a simple smartphone.

Influence of the orientation of constructed blood vessels during the 3D printing on the measurement of the pseudo-oxygen saturation of an artificial blood substitute using conventional oxygen sensors: a test series.

Background: The development of phantoms to reduce animal testing or to validate new instruments or operation techniques is of increasing importance. For this reason, a blood circulation phantom was developed to test a newly designed retractor system with an integrated oxygen sensor. This phantom was used to evaluate the impact of the 3D printed blood vessel on the measurement of the oxygen saturation.

Scaling up electrochemical CO reduction: enhancing the performance of metalloporphyrin complexes in zero-gap electrolyzers.

Metalloporphyrins are widely studied in the field of electrochemical CO reduction (COR), with the main focus on homogenous catalysis. Herein, six metalloporphyrins (M = Fe, Co, Ni, Cu, Zn, Ag) were incorporated in gas diffusion electrodes and used in zero-gap electrolyzers to reach varying FEs for CO of <1% (Fe,Ni), 11% (Cu), 37% (Zn), 75% (Co) and nearly 100% (Ag) at a current density of 50 mA cm.

ConfRank: Improving GFN-FF Conformer Ranking with Pairwise Training.

Conformer ranking is a crucial task for drug discovery, with methods for generating conformers often based on molecular (meta)dynamics or sophisticated sampling techniques. These methods are constrained by the underlying force computation regarding runtime and energy ranking accuracy, limiting their effectiveness for large-scale screening applications. To address these ranking limitations, we introduce ConfRank, a machine learning-based approach that enhances conformer ranking using pairwise training.

Pilot analysis of magnetic resonance imaging-based contributors to patient-centred optimization of mandibular advancement devices in obstructive sleep apnea.

Mandibular advancement devices are an effective treatment option for obstructive sleep apnea. While their efficacy depends on the degree of mandibular protrusion, other contributing factors influencing the optimal outcome are not fully understood. This magnetic resonance imaging-based pilot study aimed at investigating whether there are promising planimetric parameters that may be related to the optimal therapeutic position.