Search results for "MAb"

showing 10 items of 1716 documents

Development and validation of a liquid chromatography tandem mass spectrometry method for the analysis of beta-agonists in animal feed and drinking w…

2010

A reproducible, sensitive and selective multiresidue analytical method for seven beta-agonists: clenbuterol (CBT), clenpenterol (CPT), ractopamine (RTP), brombuterol (BBT), mabuterol (MBT), mapenterol (MPT), and hydroxymethylclenbuterol (HMCBT) was developed and validated by using liquid chromatography tandem mass spectrometry (LC-MS/MS) in feed and drinking water samples. The validation was achieved according to the criteria laid down in the Commission Decision 2002/657/EC, however it was necessary to use minimum required performance limits (MRPLs) proposed by the Community Reference Laboratories (CRLs) due to the lack of maximum residue limits (MRLs) for beta-agonists. By setting up these…

Animal feedBiochemistryHigh-performance liquid chromatographySensitivity and SpecificityAnalytical Chemistrychemistry.chemical_compoundLiquid chromatography–mass spectrometryTandem Mass SpectrometryWater SupplyPhenethylaminesSample preparationResidue (complex analysis)ChromatographyMabuterolOrganic ChemistryReproducibility of ResultsWaterGeneral MedicineAdrenergic beta-AgonistsAnimal FeedRactopaminechemistryEthanolaminesLinear ModelsWater qualityChromatography LiquidJournal of chromatography. A
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Abstract 2903: IMAB362, a novel first-in-class monoclonal antibody for treatment of pancreatic cancer

2014

Abstract Pancreatic ductal adenocarcinoma (PDAC), the most frequent subtype (>80%) of pancreatic cancer (PC) is characterized by a generally lethal progress within a short period of time after primary diagnosis. Despite high efforts, the treatment options are very limited and mainly of palliative nature. Therefore, we investigated whether IMAB362 might represent a potential treatment option in this patient population. IMAB362 is a highly potent and tumor-cell selective therapeutic antibody which is currently in clinical development in gastro-esophageal cancer (in phase II and IIb trials). IMAB362 is directed against the tight junction molecule CLDN18.2, a proliferation-promoting tran…

Antibody-dependent cell-mediated cytotoxicityCancer Researchbusiness.industrymedicine.drug_classCancermedicine.diseaseMonoclonal antibodyGemcitabineMalignant transformationOncologyIn vivoPancreatic cancerImmunologymedicineCancer researchbusinessIMAB362medicine.drugCancer Research
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The GAIN-C study (BP25438): Randomized phase II trial of RG7160 (GA201) plus FOLFIRI, compared to cetuximab plus FOLFIRI or FOLFIRI alone in second-l…

2012

TPS3637 Background: GA201 is a novel, dual-acting, humanized, glycoengineered IgG1 anti-EGFR monoclonal antibody, with enhanced antibody-dependent cellular cytotoxicity (ADCC) activity in combination with signal inhibition. GA201 demonstrates significantly enhanced in vitro/vivo activity compared to cetuximab (cet) both as a single agent and in combination with irinotecan, in both KRAS mutant and BRAF mutant models and promising clinical activity in ph I and neo-adjuvant trials (Paz Ares et al, JCO 2011) including KRAS mutant mCRC. A randomized ph II program was launched: one study in NSCLC and GAIN-C in mCRC (NCT01326000), which is presented here. Methods: Main inclusion criteria are prog…

Antibody-dependent cell-mediated cytotoxicityOncologyCancer Researchmedicine.medical_specialtyCetuximabColorectal cancermedicine.drug_classbusiness.industryMutantWild typemedicine.disease_causemedicine.diseaseMonoclonal antibodydigestive system diseasesOncologyInternal medicineFOLFIRImedicineKRASbusinessmedicine.drugJournal of Clinical Oncology
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Bevacizumab, a humanized anti-angiogenic monoclonal antibody for the treatment of colorectal cancer

2007

Angiogenesis is the process by which new blood vessels are created from pre-existing vessels. It is essential for the growth and development of normal cells and tissues during embryonic and neonatal development and of tumour cells. Solid tumours rely on having an extensive network of blood vessels for growth and survival. The key mediator of angiogenesis, vascular endothelial growth factor-A (VEGF-A), is critical for the growth of tumours and their subsequent metastasis and is known to initiate angiogenesis. Bevacizumab is a humanized immunoglobulin G monoclonal antibody that binds to VEGF with high specificity, thereby blocking VEGF-mediated signalling pathways and thus angiogenesis. Clini…

Antimetabolites AntineoplasticBevacizumabColorectal cancerAngiogenesisNeovascularization PhysiologicAngiogenesis InhibitorsAntibodies Monoclonal HumanizedMetastasisNeovascularizationchemistry.chemical_compoundHumansMedicineDrug InteractionsPharmacology (medical)Neoplasm MetastasisSurvival ratePharmacologybusiness.industryAntibodies Monoclonalmedicine.diseaseBevacizumabSurvival RateVascular endothelial growth factorchemistryImmunologyMonoclonalCancer researchDrug Therapy CombinationFluorouracilmedicine.symptomColorectal Neoplasmsbusinessmedicine.drugJournal of Clinical Pharmacy and Therapeutics
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A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
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Highly Performant, Deep Neural Networks with sub-microsecond latency on FPGAs for Trigger Applications

2020

Artificial neural networks are becoming a standard tool for data analysis, but their potential remains yet to be widely used for hardware-level trigger applications. Nowadays, high-end FPGAs, often used in low-level hardware triggers, offer theoretically enough performance to include networks of considerable size. This makes it very promising and rewarding to optimize a neural network implementation for FPGAs in the trigger context. Here an optimized neural network implementation framework is presented, which typically reaches 90 to 100% computational efficiency, requires few extra FPGA resources for data flow and controlling, and allows latencies in the order of 10s to few 100s of nanoseco…

Artificial neural network010308 nuclear & particles physicsbusiness.industryPhysicsQC1-99901 natural sciencesData flow diagramMicrosecondEmbedded system0103 physical sciencesDeep neural networksLatency (engineering)010306 general physicsField-programmable gate arraybusinessEPJ Web of Conferences
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Efficient MLP Digital Implementation on FPGA

2005

The efficiency and the accuracy of a digital feed-forward neural networks must be optimized to obtain both high classification rate and minimum area on chip. In this paper an efficient MLP digital implementation. The key features of the hardware implementation are the virtual neuron based architecture and the use of the sinusoidal activation function for the hidden layer. The effectiveness of the proposed solutions has been evaluated developing different FPGA based neural prototypes for the High Energy Physics domain and the automatic Road Sign Recognition domain. The use of the sinusoidal activation function decreases hardware resource employment of about 32% when compared with the standar…

Artificial neural networkbusiness.industryComputer scienceActivation functionField programmable gate arrays (FPGA)Sigmoid functionartificial neuralMachine learningcomputer.software_genreTransfer functionDomain (software engineering)Feedforward neural networkSystem on a chipArtificial intelligencebusinessField-programmable gate arraycomputerComputer hardwareNeural networks
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Properties of the Binary Neutron Star Merger GW170817

2019

On August 17, 2017, the Advanced LIGO and Advanced Virgo gravitational-wave detectors observed a low-mass compact binary inspiral. The initial sky localization of the source of the gravitational-wave signal, GW170817, allowed electromagnetic observatories to identify NGC 4993 as the host galaxy. In this work, we improve initial estimates of the binary's properties, including component masses, spins, and tidal parameters, using the known source location, improved modeling, and recalibrated Virgo data. We extend the range of gravitational-wave frequencies considered down to 23 Hz, compared to 30 Hz in the initial analysis. We also compare results inferred using several signal models, which ar…

AstrofísicaGravitacióneutron star: binaryAstronomyGeneral Physics and AstronomyBinary numberAstrophysicsELECTROMAGNETIC COUNTERPARTspin01 natural sciencesGeneral Relativity and Quantum CosmologyGRAVITATIONAL-WAVESlocalization010305 fluids & plasmasGravitational wave detectorsEQUATIONenergy: densityLIGOGEO600QCastro-ph.HESettore FIS/01PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)GAMMA-RAY BURSTSSettore FIS/05PhysicsEquations of stateGravitational effectsGravitational-wave signalsDeformability parameterAmplitudePhysical SciencesPhysical effectsINSPIRALING COMPACT BINARIES[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Spectral energy densityAstrophysics - High Energy Astrophysical PhenomenaPARAMETER-ESTIMATIONBinary neutron starsdata analysis methodgr-qcQC1-999Physics MultidisciplinaryFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic AstrophysicsGravity wavesBayesianGravimeterselectromagnetic field: productionPhysics and Astronomy (all)galaxy: binary0103 physical sciencesddc:530SDG 7 - Affordable and Clean Energy010306 general physicsgravitational radiation: frequencySTFCAstrophysics::Galaxy Astrophysicsequation of stateLIGHT CURVESEquation of stateScience & Technology/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energySpinsgravitational radiationRCUKSpectral densityKILONOVATRANSIENTSbinary: compactStarsGEO600GalaxyLIGOgravitational radiation detectorNeutron starVIRGOPhysics and Astronomygravitational radiation: emissionRADIATIONBayesian AnalysisDewey Decimal Classification::500 | Naturwissenschaften::530 | Physik[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Potential feasibility of atezolizumab-bevacizumab therapy in patients with hepatocellular carcinoma treated with tyrosine-kinase inhibitors

2022

Background: The combination of atezolizumab-bevacizumab has been proven to be superior to sorafenib for the treatment of unresectable hepatocellular carcinoma not amenable to locoregional treatments, be-coming the standard of care of systemic therapy.Aim: This study aimed at assessing real-world feasibility of atezolizumab-bevacizumab in patients treated with tyrosine-kinase inhibitors.Methods: Among 1447 patients treated with tyrosine-kinase inhibitors from January 2010 to December 2020, we assessed the percentage of those potentially eligible to atezolizumab-bevacizumab (according to IMbrave-150 trial criteria), and the overall survival of eligible and non-eligible patients.Results: 422 (…

Atezolizumab-bevacizumabClinical Trials as TopicAntineoplastic Combined Chemotherapy ProtocolCarcinoma HepatocellularSystemic therapyHepatologyHepatocellular carcinomaTirosin-kinase inhibitorLiver NeoplasmsGastroenterologyTirosin-kinase inhibitor.Atezolizumab-bevacizumab; Hepatocellular carcinoma; Systemic therapy; Tirosin-kinase inhibitorBevacizumabFeasibility StudieTyrosineHumanDigestive and Liver Disease
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Atopiska dermatīta smaguma pakāpes korelācija ar laboratorisko kritēriju un biežākas blaknes pacientiem ar bioloģisko terapiju

2021

Mērķis: Izpētīt un salīdzināt visbiežākās blaknes nemolizumab un lebrikizumab medikamentiem. Izpētīt laboratorisko rādītāju korelāciju ar AD smaguma pakāpi.Uzdevumi: Noteikt korelatīvas sakarības starp EASI, IgE, eozinofīliem leikocītiem, neitrofīliem leikocītiem, LDH. Salīdzināt nemolizumab un lebrikizumab medikamentu drošību. Materiāli un metodes: Retrospektīvs pētījums attiecībā uz 1.hipotēzi, izmantojot ambulatoro pacientu kartiņas. Pacienti ar vidēji smagu, smagu AD (kopā 59 cilvēki). Randomizēti, dubultakli, placebo-kontrolēti, multicentriski pētījumi, attiecība uz 2.hipotēzi. Kopējais pacientu skaits, ieskaitot pacientus, kuri saņēma bioloģisko terapiju - 424 (lebrikizumab) un 649 (n…

Atopiskais dermatītseozinofīli leikocītitNemolizumabMedicīnaLebrikizumab
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