In the 1980s, the center of entrepreneurial activity for the application of liposome science to medicine took the form of a company called Vestar Inc. (which became NeXstar Pharmaceuticals Inc., and eventually a division of Gilead Sciences, with merger and acquisition activity). This company was formed from science initially developed at the California Institute of Technology and the City of Hope, and involving several other local academic and treatment centers. This company eventually produced two commercial liposomal therapeutics, and created a particular paradigm of formulation goals, formulation development, characterization, and production unique among the set of companies that emerged around the same time. A number of clinical candidates were also developed, but failed to achieve commercialization. Nevertheless, several of these provide still relevant lessons and guidance for the field. Key adaptations of this technology to lower cost applications have also been carried out and are examined.
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http://dx.doi.org/10.1016/j.addr.2020.07.016 | DOI Listing |
J Exp Clin Cancer Res
December 2024
Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
On September 23-24 (2024) the 6th Workshop IRE on Translational Oncology, titled "Cancer Organoids as Reliable Disease Models to Drive Clinical Development of Novel Therapies," took place at the IRCCS Regina Elena Cancer Institute in Rome. This prominent international conference focused on tumor organoids, bringing together leading experts from around the world.A central challenge in precision oncology is modeling the dynamic tumor ecosystem, which encompasses numerous elements that evolve spatially and temporally.
View Article and Find Full Text PDFBMC Oral Health
December 2024
Department of Stomatology, the 960th hospital of People's Liberation Army of China (PLA), Jinan, China.
Background: A dental hygienist is an indispensable auxiliary staff in stomatology who assists people in achieving an optimum level of oral health. Despite advancements in dental medical services, our country has not yet established the position of dental hygienists. The current imbalance in the allocation of dental human resources has created a significant disparity between the demand for and supply of dental auxiliaries.
View Article and Find Full Text PDFNat Biomed Eng
December 2024
Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Deep brain stimulation (DBS), a proven treatment for movement disorders, also holds promise for the treatment of psychiatric and cognitive conditions. However, for DBS to be clinically effective, it may require DBS technology that can alter or trigger stimulation in response to changes in biomarkers sensed from the patient's brain. A growing body of evidence suggests that such adaptive DBS is feasible, it might achieve clinical effects that are not possible with standard continuous DBS and that some of the best biomarkers are signals from the cerebral cortex.
View Article and Find Full Text PDFMol Psychiatry
December 2024
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Psychiatric disorders are highly comorbid, heritable, and genetically correlated [1-4]. The primary objective of cross-disorder psychiatric genetics research is to identify and characterize both the shared genetic factors that contribute to convergent disease etiologies and the unique genetic factors that distinguish between disorders [4, 5]. This information can illuminate the biological mechanisms underlying comorbid presentations of psychopathology, improve nosology and prediction of illness risk and trajectories, and aid the development of more effective and targeted interventions.
View Article and Find Full Text PDFSci Rep
December 2024
ETH Zurich, Zurich, Switzerland.
Artificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human-AI collaboration is that many AI algorithms operate in a black-box manner where the way how the AI makes predictions remains opaque. This makes it difficult for humans to validate a prediction made by AI against their own domain knowledge.
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