Publications by authors named "Pedro Ferreira da Costa"
Medical imaging research is often limited by data scarcity and availability. Governance, privacy concerns and the cost of acquisition all restrict access to medical imaging data, which, compounded by the data-hungry nature of deep learning algorithms, limits progress in the field of healthcare AI. Generative models have recently been used to synthesize photorealistic natural images, presenting a potential solution to the data scarcity problem.
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- - The study investigates the toxicity of five common polymers (PIC100, E-Shell200, E-Shell300, polydimethylsiloxane, and polystyrene) used in 3D printing and medical devices, particularly on early bovine embryo development and estrogen receptor activation.
- - Results showed that PIC100, E-Shell200, and E-Shell300 hindered embryo development and were linked to the release of harmful substances like diethyl phthalate and polyethylene glycol.
- - All tested polymers, except polystyrene, activated estrogen receptors and negatively impacted oocyte maturation, emphasizing the importance of careful use and disposal of these materials in 3D printing and bioengineering applications.