SEARCH · PubMed Health

Results for “multimodal modeling”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 163 records · Page 9Linked to original sources

PubMed1995

Pleural-based mesothelioma in immune competent rats: a model to study adenoviral gene transfer.

BACKGROUND: Despite multimodality approaches, pleural-based malignant mesothelioma remains a disease with a very poor prognosis. Novel therapeutic strategies such as gene therapy clearly are needed to improve the survival of patients with this neoplasm. To aid in the evaluation of new treatment strategies, animal models that closely mimic human disease are required. This article describes the establishment of a pleural-based model of malignant mesothelioma in immune-competent Fischer rats. METHODS: Via a modified left anterior lateral thorocotomy, a syngeneic malignant mesothelioma cell line, called II-45, was placed into the pleural cavity of Fischer rats. RESULTS: Placement of II-45 cells into the pleural cavity of Fischer rats results in a model of pleural mesothelioma that closely resembles the disease seen in patients and is highly reproducible, with animals dying within 1 month. We also demonstrate the feasibility of adenoviral-mediated gene transfer to normal mesothelial cells lining the pleural cavity, as well as to malignant cells deep within the substance of pleural-based malignant mesothelioma. CONCLUSIONS: The model described here offers the opportunity to study a variety of new treatment modalities, especially somatic gene transfer, against pleural-based malignant mesothelioma in an immune competent setting.

Adenoviridae↗

PubMed1985

Multimodal frequency distribution analysis of peripheral nerves.

In morphometric studies of peripheral nerves, the statistical analysis of such data as axon diameters is complicated by the presence of multimodal distributions. Nerve fiber diameters, for example, cannot be analyzed by classical parametric tests, and such descriptive statistics as mean or variance lose much of their usefulness. The recent development of stochastic catastrophe models offers a new parametric tool with which to describe multimodal distributions. This paper describes our development of a PASCAL computer program that permitted the modelling, comparison and segmentation of multimodal distributions. The method is based on a description of the multimodal frequency distributions by probability density functions of the canonical exponential family.

Axons↗

PubMed2000

Comparison of the bifurcation scenarios predicted by the single-mode and multimode semiconductor laser rate equations

We present a detailed comparison of the bifurcation scenarios predicted by single-mode and multimode semiconductor laser rate equation models under large amplitude injection current modulation. The influence of the gain model on the predicted dynamics is investigated. Calculations of the dependence of the time averaged longitudinal mode intensities on modulation frequency are compared with experiments performed on an Al(x)Ga(1-x)As Fabry-Perot semiconductor laser.

Journal Article↗

PubMed1990

Sexual function in patients with Parkinson's disease and their partners.

Sexual function in patients with Parkinson's disease has received virtually no attention. There are many reasons (physical, psychological and social), why such patients might experience problems within their sexual relationships. A group of patients and their partners completed a series of self-report measures, aimed at assessing sexual function and a range of factors which might be associated with any difficulties. The results revealed a high level of dysfunction, not just in the patients but also in their partners. Most effected were the couples in which the patient was male. A range of problems were reported by both patients and their partners. These were, in turn, associated with a range of variables relating to the disease, psychological and social factors. No simple causal model was suggested, and a multimodal therapeutic approach might be expected to have most benefit.

Activities of Daily Living↗

PubMed2001

Anatomic substrates of language: emphasizing speech.

This article reviews in detail the gross anatomy of the auditory and language areas, the present concepts of unimodal and multimodal association cortices, the classic model of language, problems with the classic model, and newer approaches to conceptualizing the structural interconnections that subserve audition and language.

Adult↗

PubMed1997

Multimodality Bayesian algorithm for image reconstruction in positron emission tomography: a tissue composition model.

The use of anatomical information to improve the quality of reconstructed images in positron emission tomography (PET) has been extensively studied. A common strategy has been to include spatial smoothing within boundaries defined from the anatomical data. We present an alternative method for the incorporation of anatomical information into PET image reconstruction, in which we use segmented magnetic resonance (MR) images to assign tissue composition to PET image pixels. We model the image as a sum of activities for each tissue type, weighted by the assigned tissue composition. The reconstruction is performed as a maximum a posteriori (MAP) estimation of the activities of each tissue type. Two prior functions, defined for tissue-type activities, are considered. The algorithm is tested in realistic simulations employing a full physical model of the PET scanner.

Algorithms↗

PubMed2005

A grand challenge for research: multimodal, multilevel and multiscale systems in medicine and biology.

Computational modelling, nano-bioscience and information technology in biology and medicine will play a major role in the interdisciplinary attempts to elucidate structures and functions of living systems. Developing tools capable to integrate the new advances and make benefit of them is crucial: accumulation of data and knowledge base with only storage and retrieval capabilities will have a poor impact if they are not made "active" or "operational". This is where models will play a central role in offering, not only sound ways for representation or simulation, but also the appropriate frames to put the players in the right place, with intra- and inter-level coupling and multisource handling. This paper advocated that sequential observations of multiple and complex mechanisms will be of limited interest to understand the inter-relations that are occurring at the same time, and therefore, that designing multimodal, multilevel and multiscale experiments, matched with these models, are of major importance.

Animals↗

PubMed2026

CodonMoE: DNA language models for codon-dependent mRNA prediction.

MOTIVATION: Genomic language models (gLMs) face a fundamental efficiency challenge: one must either maintain separate specialized models for each biological modality (DNA and RNA) or develop large multimodal architectures. Both approaches impose significant computational burdens-modality-specific models require redundant infrastructure despite inherent biological connections, while multi-modal architectures demand increased parameter counts and extensive cross-modality pretraining. RESULTS: To address this limitation, we introduce CodonMoE (Adaptive Mixture of Codon Reformative Experts), a lightweight adapter that transforms DNA language models into effective RNA analyzers without RNA-specific pretraining. Our theoretical analysis establishes CodonMoE as a universal approximator at the codon level, capable of mapping arbitrary functions from codon sequences to codon-dependent RNA properties given sufficient expert capacity. Across four RNA prediction tasks spanning stability, expression, and regulation, DNA models augmented with CodonMoE significantly outperform their unmodified counterparts, with the HyenaDNA+CodonMoE series achieving state-of-the-art results using 80% fewer parameters than specialized RNA models. By maintaining sub-quadratic complexity while achieving superior performance, our approach provides a principled path toward unifying genomic language modeling, leveraging more abundant DNA data and reducing computational overhead while preserving modality-specific performance advantages. AVAILABILITY AND IMPLEMENTATION: Source code for the method and to reproduce the results is available at https://github.com/Kingsford-Group/CodonMoE.

Codon↗

PubMed1991

The mechanism of heart failure caused by cardiac allograft rejection.

Rejection of the cardiac allograft is often associated with reversible myocardial failure, the mechanism of which is not understood. We have examined this phenomenon in a small animal model that provides the opportunity for multimodality study of the rejection process. Heterotopic cardiac transplantation was performed in the Lewis rat with Lewis X Brown-Norway (allografts) or Lewis (isografts) donors. Without immunosuppression, allografts are completely rejected in 6 to 8 days. At 3 days cardiac grafts were explanted and mounted on a modified Langendorff apparatus for functional measurements or submitted for pathologic examination and biochemical determination of high-energy phosphates. Three-day isografts (n = 9) had minimal histologic changes. Pathologic examination of 3-day allografts (n = 13) showed lymphocytic infiltrate and myocyte necrosis, histologic features for which antirejection treatment is usually given clinically. For grafts subjected to functional studies (n = 11), heart rate, cardiac output, coronary flow, and stroke work were determined at baseline and in response to isoproterenol (3 x 10(-8) mol/ml). Three-day allografts (n = 6) and isografts (n = 5) had similar baseline function. The chronotropic response to isoproterenol was similar in allografts and isografts, but allografts had diminished cardiac output and stroke work after isoproterenol. Adenosine triphosphate levels were normal (41.9 nmol/mg) in 3-day allografts (n = 4). We have evaluated functional, biochemical, and pathologic changes associated with myocardial dysfunction during heterotopic cardiac transplant rejection in a small animal. This model reproducibly demonstrates diminished contractile reserve in 3-day allografts with normal baseline function and high-energy stores but histologically significant rejection.

Adenosine Triphosphate↗

PubMed1993

Theoretical considerations on the formation of secretory granules in the rat pancreas.

Rat pancreatic zymogen granule sizes were determined by analysis of electron micrographs of the pancreas from adult and newborn rats. Areas of granule profiles were measured and converted to equivalent volumes. Histograms of the equivalent volumes showed integral multimodal distributions which were evaluated for goodness of fit with two models, unit addition and random fusion. Previous analyses of zymogen granule size distributions have failed to recognize the multimodality we have observed. Distributions of equivalent volumes for the two models were developed using Monte Carlo simulation. In the case of the granules from the newborn rats, the distribution of granule sizes gave a better fit with the random fusion model, whereas the granules from the adult rats had distributions with a better fit to the unit granule addition model. The estimated unit granule sizes for the two different ages were the same. Both unit addition and random fusion models propose that following formation of secretory granules from Golgi-derived material, the granules fuse with one another to create a wide dispersion of granule sizes. The present results extend the evidence for fusional growth of secretory granules, originally developed for the mast cell, to the zymogen granules of pancreas. All normal cells previously studied have yielded secretory granule distributions most consistent with unit addition. The basis for the expression of random fusion in the newborn rather than the more usual unit addition is not known.

Aging↗

PubMedDate not supplied

Role of multimodal treatment in oropharynx, larynx, and hypopharynx cancer.

Due to recent advances in radiation fractionation, radiochemotherapy, and conservative surgical techniques, the concept of multimodal therapy in head and neck cancer is currently changing. The recently published RTOG Phase III trial 9003, with 1,113 patients accrued, showed that hyperfractionation and accelerated fractionation with concomitant boost are more efficacious than standard fractionation for locally-advanced head and neck cancer. Acute, but not late, toxicity was also increased. Three meta-analyses have suggested that the impact of chemotherapy in head and neck cancer is small but is highly associated with the timing of therapy. Concomitant administration of radiation therapy and chemotherapy led to an absolute benefit in 5-year survival of about 10%. This finding has been further supported by recently published randomized prospective trials comparing concomitant radiochemotherapy with radiotherapy alone in advanced head and neck cancer. There is now clear evidence that radiochemotherapy provides a substantial and statistically significant improvement in survival and local-regional control, as compared to radiotherapy alone. Radiochemotherapy should be considered an accepted standard of care in cancers of the oropharynx, particularly for patients with locally-advanced disease who have a good performance status. Two randomized studies conducted by the Department of Veterans' Affairs and the EORTC, with a total of 534 patients accrued, showed that induction chemotherapy followed by radiotherapy of responders yields survival rates equal to those of total laryngectomy with postoperative radiotherapy. After 4 years, one-half to two-thirds of survivors of the chemotherapy arm retained a functional larynx. Larynx preservation using induction chemotherapy can now be regarded as feasible but still investigational. Current phase II studies show excellent larynx preservation rates using a primary concomitant radiochemotherapy with an altered fractionation regimen. More clinical and laboratory research is required to further evaluate the different treatment options of the multimodality concept, and to develop prognostic models that will allow individualization of the therapy.

Combined Modality Therapy↗

PubMedDate not supplied

Laser photochemotherapy: a less invasive approach for treatment of cancer.

The effectiveness of combining surgery with chemo- and radiation therapy in treatment of human cancer provides a useful model for further development of new multimodality approaches including laser photochemotherapy. Laser endoscopy often is a useful treatment for obstructive tumors in airways, but interstitial laser fiberoptics is becoming a more precise, minimally invasive alternative for ablation of unresectable or recurrent neoplasms. Combining intratumor chemotherapy with laser energy delivery via interstitial fiberoptics should be most effective using drugs activated by photothermal energy. A number of investigators have shown that anthracyclines and cis-platinum are likely candidates for light or heat activation in cancer cells. An advantage of anthracyclines is their dual role as antitumor drugs and as photosensitizers. Because they are effective chemotherapy agents without photoactivation, two approaches are possible to increase tumor responses. Maximum tolerated dose followed by photoillumination via laser fiberoptics can be used to obtain better tumor palliation. Improved treatment response to lower intratumor drug levels after laser activation also should reduce systemic toxicity. Preclinical studies and recent case reports from several groups suggest photochemotherapy with currently approved drugs and lasers may soon become an attractive alternative for treatment of recurrent tumors in cancer patients.

Anthracyclines↗

PubMed2001

The resonance Raman effect of dicaesium uranyl tetrachloride in dimethyl sulfoxide.

The resonance Raman scattering spectra of dicaesium uranyl tetrachloride (Cs2UO2Cl4) in dimethyl sulfoxide ((CH3)2SO) have been measured under laser excitation of the uranyl ion in resonance with the 1sigma(g)+ --> 1phi(g) Laport-forbidden f-f electronic transitions (520-450 nm) by using 10 output lines of the argon-ion laser at room temperature. The excitation profile of the totally symmetric stretching vibrational mode of uranyl observed at 830 cm(-1) is presented and analyzed in terms of the transform methods which are able to formally bypass multimode complexities. The non-Condon model (generalized B, C-terms of scattering) gives a relatively good agreement with the resonance excitation profile of experiment. Reliable value of the nuclear displacement on going the 1sigma(g)+ --> 1phi(g) electronic transition and the amount of charge transferred from the ligand to uranium of uranyl ion both in the ground and excited states are obtained. It is found that the average number of ligands coordinated equatorically to the central uranium atom affects on the amount of charge transferred from the ligand to uranium, especially in the electronic excited state. As increasing the average number of ligands, the amount of charge transferred from the ligand to uranium increases in the ground state, while in the electronic excited state, the charge transferred decreases.

Cesium↗

PubMed2005

Brain tumor oncolysis with replication-conditional herpes simplex virus type 1 expressing the prodrug-activating genes, CYP2B1 and secreted human intestinal carboxylesterase, in combination with cyclophosphamide and irinotecan.

The treatment of malignant glioma is currently ineffective. Oncolytic viruses are being explored as a means to selectively lyse tumor cells in the brain. We have engineered a mutant herpes simplex virus type 1 with deletions in the viral UL39 and gamma(1)34.5 genes and an insertion of the two prodrug activating genes, CYP2B1 and secreted human intestinal carboxylesterase. Each of these can convert the inactive prodrugs, cyclophosphamide and irinotecan (CPT-11), into their active metabolites, respectively. This new oncolytic virus (MGH2) displays increased antitumor efficacy against human glioma cells both in vitro and in vivo when combined with cyclophosphamide and CPT-11. Importantly, cyclophosphamide, CPT-11, or the combination of cyclophosphamide and CPT-11 does not significantly affect oncolytic virus replication. Therefore, MGH2 provides effective multimodal therapy for gliomas in preclinical models when combined with these chemotherapy agents.

Antineoplastic Combined Chemotherapy Protocols↗

PubMed2026

BriGHT: transcriptome-regularized multimodal neuroimaging for brain disorder prediction.

MOTIVATION: Hypergraph-based models for brain disorder prediction mainly adopt imaging-derived hypergraphs as propagation backbones. However, the entanglement of topology construction and feature propagation leaves regional representations weakly constrained by underlying biological organization, making them vulnerable to subject-specific variation and noise, particularly in heterogeneous multimodal settings. RESULTS: We present BriGHT, a Brain transcriptome-reGularized Hypergraph framework for mulTimodal disorder prediction. BriGHT employs a transcriptome-derived structural reference as a soft anchoring prior to regularize neuroimaging ROI embeddings, stabilizing representation geometry while preserving disease-relevant subject-specific variation. BriGHT further incorporates a reliability-aware fusion module to estimate subject-specific modality reliability from prediction confidence, cross-modal consistency, and decision certainty, enabling adaptive integration under heterogeneous modality quality. Experiments on three neuroimaging cohorts (ADNI, ADHD-200, REST-meta-MDD) and four modalities (VBM, fMRI, FDG, AV45) demonstrate that BriGHT consistently outperforms competing graph/hypergraph learning methods across six brain disorder prediction tasks. Perturbation analyses show that BriGHT benefits from the spatial correspondence between transcriptomic modules and imaging ROIs, rather than from arbitrary hypergraph regularization alone. Ablation and meta-analytic interpretability analyses support the contribution of transcriptomic anchoring and adaptive fusion to robust and biologically meaningful brain disorder prediction. AVAILABILITY: The software is publicly available at: https://github.com/Yaolab-fantastic/BriGHT. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Journal Article↗

PubMed1998

Multimodality therapy: radiation and continuous concomitant cis-platinum and PKC inhibition in a cervical carcinoma model.

The addition of chemotherapy to radiation therapy has the potential to sterilize micrometastases and tumor foci adjacent and peripheral to the treatment field, so as to enhance local control of malignancy and improve primary and salvage therapy. Studies were done to investigate the effects of combining cisplatin (CP), the most active single agent in squamous-cell cancer of the cervix, with irradiation and the addition of a protein kinase C (PKC) inhibitor. This initial report of these studies describes our experience in exposing human cervical carcinoma (HeLa-S3) cells grown in culture as multicellular tumor spheroids to continuous CP combined with radiation in an attempt to mimic both clinically achievable serum concentrations of CP and a weekly fractionated-dose environment. Radiation-dose-dependent delays of spheroid growth were not significantly increased in the presence of the PKC inhibitor 7-OH-staurosporine (UCN-01) at 1.0 nM and 10.0 nM concentrations. When dose comparisons at 8 Gy alone (2 Gy x 4 fractions) were made for combined therapy with either CP alone (1.0 microgram/ml) or UCN-01 alone, absolute delays in spheroid growth at the highest concentrations used were comparable (range: 37-41 days). Although these data alone would not support minimal chemotherapeutic interaction, it appears that the overall effects observed for combination therapy were predominately radiation-dose dependent. The combination of UCN-01 plus CP (0.5 and 1.0 mu/ml, respectively) was effective in increasing the cytostatic and cytotoxic effects of irradiation at 4 Gy (2 Gy x 2 fractions). Observations made as early as day 4 and day 7 posttreatment were indicative of > or = 40% and 60%, respectively, of morphological damage. Spheroid growth was essentially static at these doses over the evaluation time of 60 days. Intracellular junctions were disorganized, and spheroid swelling was evident and contributed to the modest dimensional changes observed after treatment. No surviving fractions could be generated from spheroids that were mechanically disrupted, trypsinized, and plated at day 7 after the initiation of treatment. At 2 months, 88% (14/16) and 94% (15/16) of the multimodality treatment groups (4 Gy + UCN-01 + CP [0.5 and 1.0 mu/ml], respectively) had sterilized spheroids, indicating that the CP concentration dependence may not be a sole determinant of efficacy. Our therapeutic strategy for combining irradiation with CP was based on the contemporary use of CP as the most successful agent in producing high survival rates in gynecological malignancy. The combination of UCN-01 with CP and irradiation may, however, represent a more effective strategy for enhancing future cisplatin-based chemotherapy regimens.

Alkaloids↗

PubMed2002

Optimization of absorption-based optical chemical sensors that employ a single-reflection configuration.

An optimization strategy for a generic absorption-based optical chemical sensor that employs a single-reflection planar configuration is reported. A theoretical model describing the sensor sensitivity is presented and verified experimentally. It is shown that optimum sensitivity is not achieved with an evanescent-wave sensing technique but with a configuration in which the interrogating light propagates within the sensing layer. Moreover, an optimization strategy based on identification of an optimized reflection angle is described. This analysis provides an optimization strategy that is extendable to multimode waveguide platforms. The predictions of the model are used in the design of a prototype LED-based sensor system. The performance of this system is examined, and the results are compared with alternative absorption-based sensor configurations.

Journal Article↗

PubMed2026

Automated CEAP Classification of Venous Duplex Reports Using Multimodal Artificial Intelligence.

OBJECTIVE: To develop and internally validate a prototype multimodal artificial intelligence system for automated CEAP (Clinical, Etiological, Anatomical and Pathophysiological) classification of venous duplex ultrasound (VDUS) reports, integrating natural language processing of free-text components with computer vision analysis of hand-drawn anatomical diagrams. METHODS: Single centre retrospective observational study using routinely collected clinical data. One thousand consecutive venous duplex ultrasound reports from Cambridge University Hospitals NHS Foundation Trust, UK (July 2024 - May 2025) were labelled according to the CEAP classification, excluding the Etiological component, which could not be reliably determined from duplex reports alone. Transfer learning was applied using ClinicalBERT for text and MobileNetV3 for diagrammatic data. Clinical classes were predicted from request line text. Text- and image-based pathophysiological models were developed for four anatomical territories (Great Saphenous Vein, Small Saphenous Vein, Deep system, Perforators), combined using late fusion with probability averaging. RESULTS: The clinical CEAP model achieved accuracy of 0.91, macro-F1 of 0.82, and macro-AUC of 0.98. Pathophysiological prediction varied, with text models broadly outperforming image models. Fusion yielded heterogeneous benefits, improving SSV performance but reducing Deep system accuracy. The performance of the final pathophysiological CEAP fusion models varied across anatomical territories: accuracy ranged from 0.70-0.92 and macro-AUC from 0.80-0.92. CONCLUSION: This study demonstrates the feasibility of automated CEAP classification from VDUS reports. Despite class imbalance affecting minority class predictions, the strong discriminatory performance validates this multimodal ML model for extracting clinically meaningful information from real-world data. This approach offers potential, pending external validation, to streamline vascular services through automated triage and guideline-compliant decision making.

Artificial intelligence↗