The pharmaceutical industry has increasingly aimed to achieve efficient strategies for simultaneous international and worldwide development of medicines, and there has been a growing need to understand ethnic differences in drug evaluation. Japan is one of the unique countries in which substantial domestic clinical data are required for dose selection as well as for marketing authorization. However, it appears challenging to accumulate a large amount of data in a single country in the recent shift to international drug development. To gain a better understanding of the influence of ethnic factors, the dosages of the products approved in Japan during 2003-2010 were reviewed, and differences in clinical responses between Japan and the United States were evaluated using a modeling approach. Of new medicines (new molecular entities) approved in Japan, 39 products (28.1%) have been approved at a different dose level compared with the United States, of which 13 products have considerable difference, twice or greater. Of those 13 products, only 2 were suggested to have a different clinical response, although limited data availability should be taken into careful consideration. Further investigation is recommended to establish new approaches for appropriate dose selection and thereby increase the efficiency of international drug development.
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http://dx.doi.org/10.1177/2160763X12455329 | DOI Listing |
Med Phys
January 2025
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Background: Diffusing alpha-emitters Radiation Therapy ("Alpha DaRT") is a promising new radiation therapy modality for treating bulky tumors. Ra-carrying sources are inserted intratumorally, producing a therapeutic alpha-dose region with a total size of a few millimeter via the diffusive motion of Ra's alpha-emitting daughters. Clinical studies of Alpha DaRT have reported 100% positive response (30%-100% shrinkage within several weeks), with post-insertion swelling in close to half of the cases.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Biology, Hamilton College, Clinton, NY, USA.
Perfluorooctane sulfonic acid (PFOS) is an anthropogenic chemical found in aqueous film-forming foams (AFFFs) and many consumer products. Despite its environmental ubiquity and persistence, little is known about the effects of PFOS on stress levels in wild animals. Here, we examined PFOS bioaccumulation and correlations between PFOS exposure and oxidative stress in snapping turtles (Chelydra serpentina) downstream of Griffiss Air Force Base in Rome, New York, a known source of AFFF contamination.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
View Article and Find Full Text PDFJ Occup Rehabil
January 2025
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Purpose: We aimed to develop an online vocational rehabilitation (VR) readiness screening (VRRS) tool for young adults diagnosed with cancer. VR readiness was defined as being physically and cognitively ready to enter or return to work or school.
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Brain Inform
January 2025
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.
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