Results 111 to 120 of about 162,788 (297)

Chapter 10 The Ethics of Genetic Enhancement

The desire to transform ourselves into something better than we are now is as old as humanity. But the ability to use biomedical technologies to enhance our capacities is new.
Anomaly, Jonny, Johnson, Tess
core   +1 more source

Enhancement and civic virtue

, 2014
Opponents of biomedical enhancement frequently adopt what Allen Buchanan has called the Personal Goods Assumption. On this assumption, the benefits of biomedical enhancement will accrue primarily to those individuals who undergo enhancements, not to ...
Douglas, Thomas, Jefferson, William, Kahane, Guy, Jefferson, Will, Savulescu, Julian   +4 more
core   +1 more source

Nano-carriers for Targeted Delivery and Biomedical Imaging Enhancement

Therapeutic Delivery, 2018
Theranostic approaches using nanotechnology have been a hot research area for the past decade. All nano drug delivery techniques and architectures have some limitations, as do diagnostic nano-approaches. Thus, combining nano drug delivery strategies with diagnostic techniques using nanoparticles for improving imaging modalities has been the key to fill
Parekh Gaurav, Shi Yuanyuan, Zheng Juanjuan, Zhang Xingcai, Leporatti Stefano   +4 more
openaire   +3 more sources

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

The multiscale bowler-hat transform for vessel enhancement in 3D biomedical images [PDF]

, 2019
\ua9 2018. The copyright of this document resides with its authors. Enhancement and detection of 3D vessel-like structures has long been an open problem as most existing image processing methods fail in many aspects, including a lack of uniform ...
Nelson CJ, Sazak C, Obara B
core  

Cross-Cultural Insights from Two Global Mental Health Studies: Self-Enhancement and Ingroup Biases [PDF]

This commentary highlights two cross-cultural issues identified from our global mental health (GMH) research, RECOLLECT (Recovery Colleges Characterisation and Testing) 2: self-enhancement and ingroup biases.
Camacho, E., Kellermann, V, Charles, A, Farkas, M., Jones, HM, Yeo, C, Jahau, N, Simpson, Adelabu; id_orcid, Hopkins, L, Garcia-Franco, Mar, Scanferla, Elisabetta, Silverstone, D., Masuda, T., Masuda, Takahiro, Asher, L., Asher, L, Klevan, T. G., Tse, Samson, Ronaldson, Amy,, Tse, S, Tiengtom, K., Hayes, D., Tinland, Aurélie, Ronaldson, A., Castelein, S., Repper, Julie, Camacho, Elizabeth, Brophy, L, Kondor, Z, Tse, S., Grant-Rowles, Jason, Hunter-Brown, H., McNaughton, Rebecca, Slade, M., Ryan, M., Simpson, A, Moreland Jones, Hannah, Bejerholm, Ulrika,, Jepps, Jessica, Jebara, Tesmine,, Todowede, Olamide, Silverstone, D, Eplov, L., Todowede, O., Zuaboni, Gianfranco, Goril Klevan, Trude, Tinland, A., Jepps, J, Takhi, S., Bakolis, Ioannis, Kotera, Yasuhiro,, Borg, M., Slade, Mike, McPhilbin, M., Repper, J, Butler, A., Bakolis, Ioannis; id_orcid, Tiengtom, Kruawon, Silverstone, Denise, Murakami, M., Vanderplasschen, W, Lucchi, F, Yeo, C., Hunter-Brown, H, Henderson, C, Meddings, Sara,, Mpango, Richard, Jebara, Tesmine, Ochoa, S, Eplov, Lene Falgaard, Hunter-Brown, Holly,, Ryan, Michael, Garcia-Franco, M, Kubinová, Petra, Harcla, C., Ochoa, Susana, Charles, A., Puschner, Bernd, Narusson, Dagmar, Eplov, L, McPhilbin, Merly, Simpson, A., Lucchi, Fabio, Arbour, Simone, Kotera, Y, Bakolis, I, Butler, Ann, Jahau, N., Yeo, Caroline, Grant-Rowles, J., Powell, C., Scanferla, E, Meng, RTB, Ochoa, S., Hopkins, L., Camacho, Elizabeth,, Masuda, Takahiko, Henderson, C., Scanferla, E., Henderson, Claire; id_orcid, Kondor, Z., Vanderplasschen, W., Kellermann, Vanessa, Brophy, L., Hiltensperger, R, Dunnett, D., Klevan, TG, Toernes, C., Bejerholm, U, Castelein, Stynke, Narusson, D., Bakolis, I., Puschner, B., Dunnett, Danielle; id_orcid, Zuaboni, G., Ronaldson, Amy, Toernes, Charlotte, Moore, E, Henderson, Claire, Toernes, C, Lucchi, F., Tinland, A, Todowede, , Olamide, Borg, Marit, Okoliyski, M, De Ruysscher, C, Jepps, J., Tolonen, J, Jahau, Ngurzoi, Lund University., Moore, Edith, Narusson, D, Powell, C, Miyamoto, Yukiko, Dunnet, Danielle,, Todowede, O, Jebara, T., Masuda, Takahiko,, Kotera, Y., Stergiopoulos, V., Eplov, Lene, Miyamoto, Yuki, Klevan, Trude Gøril, Zuaboni, G, Elton, D., Tolonen, J., Jebara, Tesnime, Grant-Rowles, J, Repper, J., Arakawa, N, Jones, H. M., Camacho, E, Elton, Dan, Slade, M, Kubinová, P., Hayes, Daniel, Sornchai, C, Elton, Daniel, Arakawa, N., Camacho, Elizabeth M., McPhilbin, M, Brophy, Lisa, Meddings, Sara, Klevan, Trude Goril, Arbour, S., Kotera, Yasuhiro, Kellermann, V., Powell, Candice, Simpson, Adelabu, Kellerman, Vanessa, Borg, M, De Ruysscher, Clara, Jebara, T, Mpango, R., Dunnett, D, Hopkins, Liza, Sornchai, C., Takhi, S, McNaughton, R, Takhi, Simran, Farkas, M, Charles, Ashleigh, Asher, Laura, Tan Boong Meng, Roger, Scanferla, Elisabettta, Hayes, D, Meng, Roger Tan Boon, Jones, Hannah Moreland, Okoliyski, M., Mpango, R, Stergiopoulos, Vicky, Stergiopoulos, V, Dunnet, Danielle, Meddings, S., Farkas, Marianne, Takhi, Simran,, Hiltensperger, Ramona, Elton, D, Arakawa, Naoko, Bejerholm, Ulrika, Bejerholm, U., Harcla, Claire, McPhilbin, Merly,, Puschner, B, Murakami, Michio, Ronaldson, A, Masuda, T, Butler, A, Ryan, M, Murakami, M, McNaughton, R., Ronaldson, Amy; id_orcid, Meddings, S, Garcia-Franco, M., Okoliyski, Michail, Dunnett, Danielle, Harcla, C, Hunter-Brown, Holly, Arbour, S, Hayes, Daniel,, Kubinová, P, Tiengtom, K, Hiltensperger, R., Castelein, S, Moore, E., Sornchai, Chatdanai, Vanderplasschen, Wouter, Grant-Rowles, Jason; id_orcid, Meng, R. T. B., Harcla, Clare, Tolonen, Jonna, Kondor, Zsuzsa, Miyamoto, Y., Miyamoto, Y, Klevan, Trude, De Ruysscher, C.   +235 more
core   +1 more source

A Survey of Machine Learning Techniques Leveraging Brightness Indicators for Image Analysis in Biomedical Applications

IEEE Access
This paper presents a comprehensive survey of machine-learning techniques that leverage brightness indicators for image analysis within biomedical applications.
Hajer Ghodhbani, Suvendi Rimer, Khmaies Ouahada, Adel M. Alimi   +3 more
doaj   +1 more source

Enhancing Polydimethylsiloxane with Silver Nanoparticles for Biomedical Coatings

Biomimetics
Silver nanoparticles (AgNPs) are widely used as antibacterial agents either as colloidal solutions or deposited on surfaces. However, the high concentration of AgNPs can lead to cytotoxicity, posing a hazard to healthy cells and tissues. Achieving a balance between antibacterial efficacy and cytocompatibility is crucial for biomedical applications ...
Axel Bachoux, Cédric Desroches, Laurence Bois, Catherine Journet, Aurore Berthier, Frédérique Bessueille-Barbier, Bérangère Toury, Nina Attik   +7 more
openaire   +2 more sources

Hydrostatic pressure activates HIF‐1α via β‐catenin to promote stemness in breast cancer cells

FEBS Open Bio, EarlyView.
To mimic the elevated intestinal fluid pressure in breast cancers, we loaded human breast cancer cells (MCF‐7, MDA‐MB‐453, and BT‐474) to 50 mmHg hydrostatic pressure. Hydrostatic pressure exposure upregulated HIF‐1α and induced stemness in MCF‐7 and BT‐474 cells.
Da Zhai, Yong Xu, Jingjing Ma, Ratchanee Duangrat, Chen Yan, Jingyan Liang, Hua Wei, Bin Jiang, Tao‐Sheng Li   +8 more
wiley   +1 more source

Nanotechnology for biomedical applications - enhancement of photodynamic activity by nanomaterials

, 2011
Nanotechnology for biomedical applications - enhancement of photodynamic activity by nanomaterialsOver the last two decades nanotechnology has become one of the most dynamically evolving field of research.
H. Podbielska, Ulatowska-Jarża, A., J. Pucińska, Pucińska, J., Wysocka-Król, K., K. Wysocka-Król, I. Hołowacz, A. Ulatowska-Jarża, Podbielska, H., Hołowacz, I.   +9 more
core   +1 more source