Results 11 to 20 of about 5,632,141 (320)

Therapeutic Potential of Kappa Opioid Agonists

open access: yesPharmaceuticals, 2019
Many original research articles have been published that describe findings and outline areas for the development of kappa-opioid agonists (KOAs) as novel drugs; however, a single review article that summarizes the broad potential for KOAs in drug ...
Tyler C. Beck   +3 more
doaj   +1 more source

Methods, systems, and devices for pairing vagus nerve stimulation with motor therapy in stroke patients [PDF]

open access: yes, 2014
A method of treating motor deficits in a stroke patient, comprising assessing a patient's motor deficits, determining therapeutic goals for the patient, based on the patient's motor deficits, selecting therapeutic tasks based on the therapeutic goals ...
Engineer, Navzer Dara   +3 more
core   +1 more source

Mechanisms and Therapeutic Targets of Cardiac Regeneration: Closing the Age Gap

open access: yesFrontiers in Cardiovascular Medicine, 2018
While a regenerative response is limited in the mammalian adult heart, it has been recently shown that the neonatal mammalian heart possesses a marked but transient capacity for regeneration after cardiac injury, including myocardial infarction.
Raphael F. P. Castellan, Marco Meloni
doaj   +1 more source

Methods, systems, and devices for pairing vagus nerve stimulation with motor therapy in stroke patients [PDF]

open access: yes, 2016
A method of treating motor deficits in a stroke patient, comprising assessing a patient's motor deficits, determining therapeutic goals for the patient, based on the patient's motor deficits, selecting therapeutic tasks based on the therapeutic goals ...
Engineer, Nazer   +3 more
core   +2 more sources

Digital Therapeutics for Mental Health: Is Attrition the Achilles Heel? [PDF]

open access: yesarXiv, 2022
Digit therapeutics are novel software devices that clinicians may utilize in delivering quality mental health care and ensuring positive outcomes. However, uptake of digital therapeutics and clinically tested software-based programs remains low. This article presents possible reasons for attrition and low engagement in clinical studies investigating ...
arxiv  

Opportunities and Challenges in the Delivery of mRNA-Based Vaccines

open access: yesPharmaceutics, 2020
In the past few years, there has been increasing focus on the use of messenger RNA (mRNA) as a new therapeutic modality. Current clinical efforts encompassing mRNA-based drugs are directed toward infectious disease vaccines, cancer immunotherapies ...
Abishek Wadhwa   +4 more
doaj   +1 more source

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation [PDF]

open access: yesarXiv, 2023
Therapeutic peptides represent a unique class of pharmaceutical agents crucial for the treatment of human diseases. Recently, deep generative models have exhibited remarkable potential for generating therapeutic peptides, but they only utilize sequence or structure information alone, which hinders the performance in generation.
arxiv  

Comparison of Safety and Vector-Specific Immune Responses in Healthy and HIV-Infected Populations Vaccinated with MVA-B

open access: yesVaccines, 2019
There are few studies comparing the safety and immunogenicity of the same HIV immunogen in healthy volunteers and HIV-infected individuals. We analyzed demographics, adverse events (AEs), and immunogenicity against vaccinia virus in preventive (RISVAC02,
Elvira Couto   +15 more
doaj   +1 more source

Biotech drugs : biological therapeutic agents [PDF]

open access: yes, 2009
The recent years has seen significant growth in a new therapeutic approach to the management of disease. Biological therapeutic agents, constitute a broad category of drugs, usually generated by recombinant techniques from living organisms.
Fenech, Anthony G., Grech, Godfrey
core   +2 more sources

Machine Learning Applications for Therapeutic Tasks with Genomics Data [PDF]

open access: yesarXiv, 2021
Thanks to the increasing availability of genomics and other biomedical data, many machine learning approaches have been proposed for a wide range of therapeutic discovery and development tasks. In this survey, we review the literature on machine learning applications for genomics through the lens of therapeutic development. We investigate the interplay
arxiv  

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