2-Minute Neuroscience: Trigeminal Nerve (Cranial Nerve V)

January 30, 2019 | 12 views

The trigeminal nerve (cranial nerve V) is the main sensory nerve of the head, and carries information about touch, pain, temperature, and proprioception from the face and head. It also has motor functions, which include controlling the muscles of mastication (chewing). In this video, I discuss the anatomy and function of the trigeminal nerve, as well as describe what can happen when the nerve is damaged.

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Pharmaforce provides companies with the professional expertise they need for their business to succeed. We are a leading supplier of Contract Sales Outsourcing, Commercial, and HR & Recruitment Services. We have been working with companies in the Pharmaceutical, MedTech and Healthcare sectors across Ireland for over 10 years. Pharmaforce is part of the award winning Pharmed Group, a wholly owned Irish company and leading healthcare and pharmaceutical services provider across Ireland and the UK, with established networks throughout Europe.

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MEDTECH

2022 U.S. Market Research Report with COVID-19 Forecasts2

Article | July 16, 2022

The global biotechnology market is expected to grow at a compound annual growth rate (CAGR) of 13.9 percent from 2022 to 2030, with a value estimated at USD 1,023.92 billion in 2021. The market is being propelled by strong government support in the form of initiatives aimed at modernizing the regulatory framework, improving approval processes and reimbursement policies, and standardizing clinical studies. The growing presence of personalized medicine and an increasing number of orphan drug formulations are opening up new avenues for biotechnology applications and driving the influx of emerging and innovative biotechnology companies, which is driving market revenue even further. The 2022 Biotech Research and Development Market Research Report is one of the most comprehensive and in-depth assessments of the industry in the United States, containing over 100 data sets spanning the years 2013 to 2026. This Kentley Insights report contains historical and forecasted market size, product lines, profitability, financial ratios, BCG matrix, state statistics, operating expense details, organizational breakdown, consolidation analysis, employee productivity, price inflation, pay bands for the top 20 industry jobs, trend analysis and forecasts on companies, locations, employees, payroll, and much more. Companies in the Biotech Research and Development industry are primarily engaged in biotechnology research and experimental development. Biotechnology research and development entails the investigation of the use of microorganisms and cellular and bimolecular processes to create or modify living or non-living materials. This biotechnology research and development may result in the development of new biotechnology processes or prototypes of new or genetically altered products that can be replicated, used, or implemented by various industries. This report was created using the findings of extensive business surveys and econometrics. The professionals follow reports with accurate and apt information on market sizing, benchmarking, strategic planning, due diligence, cost-cutting, planning, understanding industry dynamics, forecasting, streamlining, gap analysis, and other ana

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MEDTECH

Biotech in 2022

Article | July 12, 2022

The robust global channel of more than, 800 gene and cell curatives presently in trials will produce clinical readouts in 2022, revealing what lies ahead for advanced curatives. The impact will be felt in 2022, no matter how you slice it. Eventually, how well industry and non-supervisory bodies unite to produce new frameworks for advanced therapies will shape the year 2022 and further. Pacific Northwest talent will continue to contribute to the advancement of gene and cell curatives in both the short and long term, thanks to its deep pool of ground-breaking scientific developers, entrepreneurial directorial leadership, largely skilled translational scientists, and endured bio manufacturing technicians. We may see continued on-life science fund withdrawal from biotech in 2021, but this can be anticipated as a strong comeback in 2022 by biotech industry, backed by deep-pocketed life science investors who are committed to this sector. A similar investment, combined with pharma's cash-heavy coffers, can result in increased junction and acquisition activity, which will be a challenge for some but an occasion for others. Over the last five years, investment interest in Seattle and the Pacific Northwest has grown exponentially, from Vancouver, British Columbia, to Oregon. The region's explosive portfolio of new biotech companies, innovated out of academic centres, demonstrates the region's growing recognition of scientific invention. This created a belief that continued, especially because Seattle's start-ups and biotech enterprises are delivering on their pledge of clinical and patient impact. Talent and staffing will continue to be difficult to find. It's a CEO's market, but many of these funds' return, and are not rising in proportion to the exorbitant prices they're paying to enter deals. This schism has become particularly pronounced in 2021. Hence, everyone in biotech is concerned about reclamation and retention.

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MEDTECH

Next-Gen Genetics Cancer Therapies Creating Investment Prospects

Article | July 20, 2022

Genetic therapeutics such as genetic engineering and gene therapy are increasingly emerging as one of the most influential and transformed biotechnological solutions around the globe in recent times. These genetic solutions are being assessed across various medical domains, including cancer treatment, neurology, oncology, and ophthalmology. Citing the trend, the genetics industry is estimated to experience a tsunami of approvals, with over 1,000 cell and gene therapy clinical trials currently underway and over 900 companies worldwide focusing on these cutting-edge therapies. Growing Cancer Encourages Advancements in Genetic Technologies With the surging cases of cancers such as leukemias, carcinomas, lymphomas, and others, patients worldwide are increasing their spending on adopting novel therapeutic solutions for non-recurring treatment of the disease, such as gene therapy, genetic engineering, T-cell therapy, and gene editing. As per a study by the Fight Cancer Organization, spending on the treatment of cancer increased to $200.7 billion, and the amount is anticipated to exceed $245 billion by the end of 2030. Growing revenue prospects are encouraging biotechnology and biopharmaceutical companies to develop novel genetic solutions for cancer treatment. For instance, Bristol-Myers Squibb K.K., a Japanese pharmaceutical company, introduced a B-cell maturation antigen (BCMA)-directed chimeric antigen receptor (CAR) T cell immunotherapy, Abecma, for the treatment of relapsed or refractory (R/R) multiple myeloma in 2022. Amid a New Market: Genetics Will Attract Massive Investments Despite several developments and technological advancements, genetics is still considered to be in a nascent stage, providing significant prospects for growth to the companies that are already operating in the domain. Genetics solutions such as gene therapies, gene editing, and T-cell immunotherapy are emerging as highly active treatments across various medical fields, resulting in increasing research and development activities across the domain, drawing significant attention from investors. Given the potential of genetic treatments and the focus on finding new ways to treat cancer and other related diseases, it's easy to understand why companies are investing in the domain. For instance, Pfizer has recently announced an investment of around $800 million to construct development facilities supporting gene therapy manufacturing from initial preclinical research through final commercial-scale production. Due to these advancements, cell and gene therapies are forecast to grow from $4 billion annually to more than $45 billion, exhibiting growth at a 63% CAGR. The Future of Genetics Though there is a significant rise in advancement in genetic technologies and developments, the number of approved genetic treatments remains extremely small. However, with gene transfer and CRISPR solutions emerging as new modalities for cancer treatment, the start-up companies will attract a growing amount and proportion of private and public investments. This is expected present a tremendous opportunity for biopharma and biotechnology investors to help fund and benefit from the medical industry's shift from traditional treatments to cutting-edge genetic therapeutics in the coming years.

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MEDICAL

Advancement in Genomics Accelerating its Penetration into Precision Health

Article | June 22, 2022

Genomics is an interdisciplinary field of biology emphasizing the structure, editing, evolution, function, and mapping of genomes. It is creating deeper inroads across the precision health domain with the increasing introduction of advanced technologies such as quantum simulation, next-generation sequencing (NGS), and precise genome manipulation. As precision health focuses on providing the proper intervention to the right patient at the right time, genomics increasingly finds applications in human and pathogen genome sequencing in clinical and research spaces. Rising Hereditary Diseases Burden Paving the Way for Genomics in Precision Health In the last few years, a significant surge in the prevalence of diseases and ailments such as diabetes, obesity, baldness, and others has been witnessed across the globe. A history of family members with chronic diseases, such as cancer, diabetes, high blood pressure, hearing issues, and heart disease, can sometimes continue into the next generation. Hence, the study of genes is extensively being conducted for predicting health risks and early treatment of these diseases. It also finds use in CRISPR-based diagnostics and the preparation of precision medication for the individual. In addition, ongoing advancements in genomics are making it possible to identify different genetic traits that persuade people to more widespread diseases and health problems. The Emergence of Genomics Improves Disease Understanding Genomics refers to the study of the complete genetic makeup of a cell or organism. Increasing scientific research in the area substantially contributes to increasing knowledge about the human genome and assists in improving the ability to understand disease etiology, risk, diagnosis, treatment, and prevention. On account of these improvements, innovative genomic technologies and tools are being developed to enable better precision health not only for the individual but for various regional populations as well. The Way Forward With growing preference for personalized medicine and an increasing need for more accurate pathogen detection and diagnostics, genomics is gaining huge popularity across the precision health domain. Also, increasing research activities for developing novel high-precision therapeutics and rising importance of gene study in the prevention, diagnosis, and management of infectious and genetic diseases will further pave the way for genomics in the forthcoming years.

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Pharmaforce

Pharmaforce provides companies with the professional expertise they need for their business to succeed. We are a leading supplier of Contract Sales Outsourcing, Commercial, and HR & Recruitment Services. We have been working with companies in the Pharmaceutical, MedTech and Healthcare sectors across Ireland for over 10 years. Pharmaforce is part of the award winning Pharmed Group, a wholly owned Irish company and leading healthcare and pharmaceutical services provider across Ireland and the UK, with established networks throughout Europe.

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Neurocrine Biosciences and Xenon Launch Up-to-$1.7B Epilepsy, Neuroscience Collaboration

GEN | December 02, 2019

Neurocrine Biosciences has agreed to exclusively license and co-develop Xenon Pharmaceuticals’ Phase I epilepsy candidate XEN901 as a treatment for children—as well as develop three preclinical compounds, the companies said today—through a collaboration that could generate up to $1.7 billion for Xenon. XEN901 is designed as a highly selective Nav1.6 sodium channel inhibitor being developed to treat children with SCN8A developmental and epileptic encephalopathy (SCN8A-DEE) and other potential indications, including adult focal epilepsy. Xenon has completed a Phase I trial of a powder-in-capsule formulation of XEN901 in healthy adults. However, Xenon has also developed a pediatric-specific, granule formulation of XEN901, and has completed juvenile toxicology studies intended to support pediatric development of the drug candidate. “With its proven expertise in developing and commercializing treatments for neurological disorders, we believe Neurocrine Biosciences is an ideal partner to maximize the potential value of XEN901 for patients,” Xenon CEO Simon Pimstone, MD, PhD, FRCPC, said in a statement.

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Technology Networks | November 08, 2019

The brain is considered to be one of the most complex systems in existence. And while significant headway has been made to understand it, we tend to generate more questions than answers. But now a research team led by Kyoto University has developed a machine learning model that allows scientists to reconstruct neuronal circuitry by measuring signals from the neurons themselves. The model has the potential to elucidate the difference in neuronal computation in different brain regions. To comprehend the brain, we must look at the neurons that construct it. Our entire world of perception runs across these billions of cells in our head. And that is compounded by the exponentially larger number of connections -- known as synapses -- between them, making the path to our understanding a challenge. Shigeru Shinomoto from Kyoto University's School of Science, who headed the project, explains that although it is possible to record the activity of individual neurons in the brain -- and that number has increased dramatically over the last decade -- it is still a challenge to map out how each of these cells connects to each other.

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UK Scientists Speed up Brain Cancer Diagnosis with AI

Labiotech.eu | November 05, 2019

A technique combining a blood test with artificial intelligence (AI), developed by the UK company ClinSpec Diagnostics, could help to prioritize which patients need to be scanned for brain cancer. A team led by researchers at the University of Strathclyde and the University of Edinburgh, UK, trialed the technology on blood samples from 400 people suspected of having brain tumors. The researchers used an existing technique called infrared spectroscopy to screen 20,000 chemicals in their blood, and then used AI to identify the chemicals that signal a brain tumor. The test correctly identified 82% of the patients that would go on to be diagnosed with brain cancer. Patients flagged with this brain cancer test can be prioritized for confirmatory brain scans, and their diagnosis might take just two weeks. In current practice, it’s difficult to diagnose tumors from patients’ symptoms, and the process can take up to two months, with multiple visits to the doctor. The blood test is being developed by Brennan’s collaborator, the UK company ClinSpec Diagnostics. While other groups are working on cancer tests using infrared spectroscopy and AI, ClinSpec’s test is the most advanced, according to Brennan.

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Neurocrine Biosciences and Xenon Launch Up-to-$1.7B Epilepsy, Neuroscience Collaboration

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Neurocrine Biosciences has agreed to exclusively license and co-develop Xenon Pharmaceuticals’ Phase I epilepsy candidate XEN901 as a treatment for children—as well as develop three preclinical compounds, the companies said today—through a collaboration that could generate up to $1.7 billion for Xenon. XEN901 is designed as a highly selective Nav1.6 sodium channel inhibitor being developed to treat children with SCN8A developmental and epileptic encephalopathy (SCN8A-DEE) and other potential indications, including adult focal epilepsy. Xenon has completed a Phase I trial of a powder-in-capsule formulation of XEN901 in healthy adults. However, Xenon has also developed a pediatric-specific, granule formulation of XEN901, and has completed juvenile toxicology studies intended to support pediatric development of the drug candidate. “With its proven expertise in developing and commercializing treatments for neurological disorders, we believe Neurocrine Biosciences is an ideal partner to maximize the potential value of XEN901 for patients,” Xenon CEO Simon Pimstone, MD, PhD, FRCPC, said in a statement.

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Machine Learning Harnessed To Build Map of the Connectome

Technology Networks | November 08, 2019

The brain is considered to be one of the most complex systems in existence. And while significant headway has been made to understand it, we tend to generate more questions than answers. But now a research team led by Kyoto University has developed a machine learning model that allows scientists to reconstruct neuronal circuitry by measuring signals from the neurons themselves. The model has the potential to elucidate the difference in neuronal computation in different brain regions. To comprehend the brain, we must look at the neurons that construct it. Our entire world of perception runs across these billions of cells in our head. And that is compounded by the exponentially larger number of connections -- known as synapses -- between them, making the path to our understanding a challenge. Shigeru Shinomoto from Kyoto University's School of Science, who headed the project, explains that although it is possible to record the activity of individual neurons in the brain -- and that number has increased dramatically over the last decade -- it is still a challenge to map out how each of these cells connects to each other.

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UK Scientists Speed up Brain Cancer Diagnosis with AI

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A technique combining a blood test with artificial intelligence (AI), developed by the UK company ClinSpec Diagnostics, could help to prioritize which patients need to be scanned for brain cancer. A team led by researchers at the University of Strathclyde and the University of Edinburgh, UK, trialed the technology on blood samples from 400 people suspected of having brain tumors. The researchers used an existing technique called infrared spectroscopy to screen 20,000 chemicals in their blood, and then used AI to identify the chemicals that signal a brain tumor. The test correctly identified 82% of the patients that would go on to be diagnosed with brain cancer. Patients flagged with this brain cancer test can be prioritized for confirmatory brain scans, and their diagnosis might take just two weeks. In current practice, it’s difficult to diagnose tumors from patients’ symptoms, and the process can take up to two months, with multiple visits to the doctor. The blood test is being developed by Brennan’s collaborator, the UK company ClinSpec Diagnostics. While other groups are working on cancer tests using infrared spectroscopy and AI, ClinSpec’s test is the most advanced, according to Brennan.

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