HFA Modulite techn

✓ Approved

什么是 HFA Modulite techn？

HFA Modulite techn 是一种治疗药物，由Chiesi Farmaceutici S.p.A.研发。该药已获批，用于治疗相关适应症，给药途径：Inhaled。

药物档案

公司	Chiesi Farmaceutici S.p.A.
给药途径	Inhaled
状态	Approved

来源： ClinicalTrials.gov, Chiesi Farmaceutici S.p.A.

治疗适应症

HFA Modulite techn 针对 1 个适应症，涉及 1 个治疗领域。

治疗领域	疾病/病症	分期
Surgical and medical procedures	Oral appliance application	✓ Approved

相关研究文献

PubMedInorganic chemistry2026-10-26

Crystal Morphology of Luminescent Microcrystals Based on Eu(III) Coordination Polymers Changed by Surfactant Solutions.

Enokido Masaki M, Wang Mengfei M, Kitagawa Yuichi Y, Hasegawa Yasuchika Y

The morphological control of Eu(III) coordination polymers with intermolecular interactions between polymer chains was demonstrated with surfactants as molecular modulators. [Eu(hfa)3(m-dpb)]n coordination polymers (hfa; hexafluoroacetylacetonate, m-dpb; 1,3-bis(diphenylphosphoryl)benzene) showed crystal growth in CTAB/SDS solution (CTAB, cetyltrimethylammonium bromide; SDS, sodium dodecyl sulfate). The crystal morphology of [Eu(hfa)3(m-dpb)]n was changed under the synthetic conditions with various types of cationic surfactants (N+(CH3)3CnH2n+1; n = 8, 12, and 16). The Eu(III) coordination polymer crystals were observed as plates and slender rod shapes. Their crystal morphologies suggest that the crystal growth along the chain growth direction is faster than that along the chain stacking direction.

PMID 42929628

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PubMedJournal of dental sciences2026-10-25

Hollow fiber assay microtube array membrane (MTAM-HFA) for personalized anticancer drug screening in selection of concurrent chemoradiotherapy in oral squamous cell carcinoma.

Chou Shan-Ju SJ, Hsu Po-Chih PC, Chew Chee Ho CH, Huang Wan-Ting WT et al.

In Asia, oral squamous cell carcinoma (OSCC) are on the rise in part due to the consumption of betel nut in several regions. This clinical case study evaluated the application of the microtube array membrane-hollow fiber assay (MTAM-HFA) that was previously clinically demonstrated in the context of the selection of chemotheraputic agents as part of the treatment of concurrent chemoradiotherapy (CCRT) in OSCC. In this double-blind cohort study, surgical samples from OSCC patients were retrieved and sent for screening of tumor response against a panel of chemotherapeutic agents (5-fluorouracil (5-FU), cisplatin, carboplatin and docetaxel). Screening outcomes were compared to the clinical outcome of patients receiving the same agents. MTAM-HFA could predict clinical response of all 3 patients. In patient 1 and 2, MTAM-HFA screening predicted the chemotherapeutic agents accurately which was reflected in the clinical outcome of these respective patients where a significant and stable regression of tumor was observed. In patient 3, the MTAM-HFA screening revealed that 5-FU and cisplatin would exhibit limited anticancer effect. Clinically, after being administered a cocktail of docetaxel, cisplatin and 5-FU, the tumor regressed initially. However, tumor progression was noted after 2nd neoadjuvant chemotherapy. Anticancer drug resistance was later identified resulting in the need for multimodal approach. Overall, the outcomes were aligned with MTAM-HFA predictions, validating the ability to predict the anti-cancer effects of drugs. This highlights MTAM-HFA as a promising precision oncology system; with a larger prospective interventional clinical study planned for future validation.

PMID 42923691

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PubMedLa Clinica terapeutica2026-10-25

Frequency and Risk Factors of Cancer Therapy-Related Cardiac Dysfunction in Patients Receiving Chemotherapy: A Prospective Cohort Study at a Tertiary Centre.

Ly Van Chieu VC, Tran Huu Chinh HC, Nguyen Tri Thuc TT, Hoang Van Sy VS

Cancer therapy-related cardiac dysfunction (CTRCD) is an increasingly recognised consequence of contemporary oncological treatment. Left ventricular ejection fraction (LVEF) is insensitive to subclinical myocardial injury, and locally validated thresholds for global longitudinal strain (GLS) are lacking in Vietnamese patients. To determine the frequency and risk factors of CTRCD in patients receiving chemotherapy, and to validate a localised GLS threshold and a biomarker-based surveillance strategy for early detection. We conducted a prospective cohort study of 235 patients at Cho Ray Hospital (September 2023-December 2025). Patients were assessed at baseline and every three months with two-dimensional speckle-tracking echocardiography (GLS), high-sensitivity troponin T (hs-TnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP). CTRCD was defined by international consensus criteria. Diagnostic accuracy was assessed using receiver operating characteristic analysis; as the outcome was common, associations were quantified as risk ratios (RR) with 95% confidence intervals (CI) estimated by modified Poisson regression. CTRCD occurred in 82 patients (34.9%). Incidence was highest with anthracyclines (41.2%) and HER2-targeted therapy (37.2%). A relative GLS reduction ≥12.1% predicted CTRCD with 73% sensitivity and 83% specificity. hs-TnT achieved a 100% negative predictive value (NPV), and combining GLS with hs-TnT in parallel retained a 100% NPV. Hypertension (RR 2.50, 95% CI 1.78-3.50), coronary artery disease (RR 2.47, 95% CI 1.82-3.35) and dyslipidaemia (RR 2.10, 95% CI 1.49-2.97) were associated with CTRCD. HFA-ICOS stratification was strongly predictive, with a stepwise increase in risk up to the very-high-risk category (RR 18.6, 95% CI 7.94-43.6 versus low risk; 100% event rate). CTRCD affected one-third of patients. A locally validated GLS threshold combined with hs-TnT enables early, resource-efficient detection, supporting a shift from reactive to proactive cardiac surveillance.

PMID 42922226

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PubMedIEEE transactions on image processing : a publication of the IEEE Signal Processing Society2026-10-23

Global-to-Local Hierarchical Representation Learning for Maritime Vessel Re-Identification.

Fan Yiming Y, Lu Ting T, Li Shutao S

Vessel Re-Identification (Re-ID) plays an important role in the fields of maritime surveillance and traffic flow analysis. However, complex background influence and viewpoint/scale variations jointly make it difficult to accurately identify instances. Focused on this, we propose a Global-to-Local Hierarchical Representation Learning (GLHR) method for maritime vessel Re-ID, in this paper. Here, a unified two-stage framework is designed, where hierarchical feature representation is first learnt, followed by global-to-local aligned re-ranking to further optimize the identification results. First, to construct a robust global representation while preserving discriminative local details, we introduce a Hierarchical Feature Aggregation (HFA) module at the representation learning stage. The HFA coordinates features from different network stages and aggregates them into a unified descriptor for vessels. This design enforces cross-scale geometric consistency between holistic contextual representations and local neighborhood patterns. Then, we develop a Global-to-Local Structure-Aligned Re-ranking (GLSA) strategy by computing local alignment-aware similarity and incorporating it into the global retrieval distance. Specifically, we propose an efficient Top-k Patch Matching (TPM) algorithm to establish sparse correspondences between image pairs with a bidirectional Chamfer distance-based scheme. These sparse matches effectively suppress background interference and alleviate the misalignment of local relationships caused by perspective changes. Experimental results on public vessel Re-ID datasets and the self-constructed dataset demonstrate the effectiveness and superiority of the GLHR in improving vessel Re-Identification accuracies. The related code will be publicly available at https://github.com/kuofku/GLHR.

PMID 42912528

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PubMedJournal of visualized experiments : JoVE2026-10-23

Depth-Mining Network with Edge-Sensitive Context for Red-Green-Blue-Depth Surface Defect Segmentation.

Luo Mingxuan M, Yang Qianwei Q, Yan Feng F

Red-green-blue-depth (RGB-D) surface defect segmentation combines RGB and depth information to perceive the spatial distribution of defects in complex, low-contrast scenes. Current RGB-D methods typically rely on an undifferentiated bidirectional interaction mode that treats RGB and depth information equally, making them susceptible to poor-quality depth data. To address this issue, this article introduces a Depth-Mining Network with Edge-sensitive context (DMENet), which selectively mines complementary depth information and incorporates edge context to enhance defect feature representation. During encoding, a Depth-Mining Feature Fusion (DMFF) module mines depth information that is semantically relevant to RGB features and adaptively fuses it with RGB information. During decoding, a Hierarchical Feature Aggregation (HFA) module combines RGB-D, RGB, and depth features to preserve defect information. An Edge-Guided Feature Enhancement (EGFE) module further refines defect boundaries. Experiments on the Northeastern University Rail Surface Defect Detection Dataset (Augmented version, NEU RSDDS-AUG) demonstrate that DMENet achieves a mean absolute error (MAE) of 0.0483, an S-measure of 0.867, a maximum E-measure of 0.947, and a maximum F-measure of 0.911, outperforming state-of-the-art methods. It also achieves MAE values of 0.017, 0.026, and 0.032 on the National Laboratory of Pattern Recognition (NLPR), Nanjing University 2K (NJU2K), and STEREoscopic (STERE) datasets, respectively. Robustness was further demonstrated across three random seeds (MAE = 0.0483 ± 0.0004), 16 input perturbation settings, and the industrial NEU-Seg steel surface defect dataset (MAE = 0.1111), indicating stable performance and cross-material generalization in industrial settings.

PMID 42910740

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PubMedEuropean journal of heart failure2026-10-19

Management of Heart transplant recipients for the non Heart Transplant health care provider. A Clinical Consensus Statement of the Heart Failure Association (HFA) and the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC.

Baudry Guillaume G, Joyce Emer E, Adamo Marianna M, Batista Dos Santos Pedrosa Rafaela R et al.

Heart transplantation (HTx) remains the gold standard treatment for selected patients with advanced heart failure and survival after transplantation has substantially improved over recent decades. As a consequence, the number of long-term HTx recipients continues to increase, and these patients are now frequently encountered in routine practice outside specialized transplant centers. Their management remains complex due to the use of chronic immunosuppression, transplant-specific complications, and a growing burden of comorbidities in the perspective of increasing longevity. Non-transplant cardiologists, general practitioners, and other healthcare professionals are therefore increasingly involved in their care but often have limited experience of post-transplant management. This clinical consensus statement from the Heart Failure Association (HFA) and the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC provides practical support and a structured framework for healthcare providers involved in the care of HTx recipients outside dedicated transplant centers. The document reviews key aspects of post-transplant management, including outlining principles of care according to time from transplantation, essential knowledge around immunosuppressive therapy and drug monitoring, recognition and initial management of rejection, infection prophylaxis and treatment, and surveillance of long-term complications such as cardiac allograft vasculopathy, malignancy, chronic kidney disease, and metabolic disorders. In addition, specific clinical situations frequently encountered in practice-including fertility and pregnancy, non-cardiac surgery, rehabilitation, and palliative care-are discussed. Particular emphasis is placed on the organization of shared-care models between transplant centers and community providers and on identifying clinical scenarios requiring early referral. Through providing practical recommendations and a structured framework for follow-up, this document aims to support non-specialist clinicians in the safe management of HTx recipients and to facilitate timely collaboration with transplant centers.

PMID 42895118

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HFA Modulite techn

什么是 HFA Modulite techn？

药物档案

治疗适应症

相关研究文献

Crystal Morphology of Luminescent Microcrystals Based on Eu(III) Coordination Polymers Changed by Surfactant Solutions.

Hollow fiber assay microtube array membrane (MTAM-HFA) for personalized anticancer drug screening in selection of concurrent chemoradiotherapy in oral squamous cell carcinoma.

Frequency and Risk Factors of Cancer Therapy-Related Cardiac Dysfunction in Patients Receiving Chemotherapy: A Prospective Cohort Study at a Tertiary Centre.

Global-to-Local Hierarchical Representation Learning for Maritime Vessel Re-Identification.

Depth-Mining Network with Edge-Sensitive Context for Red-Green-Blue-Depth Surface Defect Segmentation.

Management of Heart transplant recipients for the non Heart Transplant health care provider. A Clinical Consensus Statement of the Heart Failure Association (HFA) and the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC.

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