Future perspectives of diagnosis and treatment of acromegaly

2013 ◽  
pp. 140-154
Author(s):  
Ferdinand Roelfsema ◽  
Nienke R Biermasz
2005 ◽  
Vol 7 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Soledad Gallego Melcón ◽  
José Sánchez de Toledo Codina

2021 ◽  
Vol 01 (1) ◽  
pp. 6-8
Author(s):  
Chandra Kishore ◽  
◽  
Priyanka Bhadra ◽  

The analytical power of artificial intelligence can revolutionize the field of cancer research, diagnosis, and treatment by analyzing the huge raw data available in biomedical science. In this review, we have discussed current challenges, development, and future perspectives of artificial intelligence in cancer research.


The Lancet ◽  
2016 ◽  
Vol 388 (10058) ◽  
pp. 2431-2442 ◽  
Author(s):  
Josep Rodés-Cabau ◽  
Maurizio Taramasso ◽  
Patrick T O'Gara

2014 ◽  
Vol 26 ◽  
pp. 104-108 ◽  
Author(s):  
Takahisa Matsuda ◽  
Hiroshi Kawano ◽  
Takashi Hisabe ◽  
Hiroaki Ikematsu ◽  
Nozomu Kobayashi ◽  
...  

2020 ◽  
Vol 10 (11) ◽  
pp. 779
Author(s):  
Giovanni Assenza

The introduction of the operative definition of drug-resistant epilepsy (DRE) was a turning point for clinicians and people with epilepsy (PwE) [...]


Cancers ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1530 ◽  
Author(s):  
J. Spencer Lane ◽  
Daniel Von Hoff ◽  
Derek Cridebring ◽  
Ajay Goel

Pancreatic cancer remains one of the deadliest diagnoses a patient can receive. One of the reasons for this lethality is that this malignancy is often detected very late due to a lack of symptoms during the early stages. In addition to the lack of symptoms, we currently do not have a reliable biomarker for screening. Carbohydrate antigen (CA) 19-9 has a sensitivity between 79% and 84% and a specificity of 82–90%, making it unreliable for early detection. Recently, there have been numerous studies on the use of extracellular vesicles (EVs) to detect pancreas cancer. This field has been rapidly expanding, with new methods and biomarkers being introduced regularly. This review provides a systematic update on the commonly used and promising methods used in the detection of EVs, biomarkers associated with EVs for early detection and prognosis, as well as studies looking at using EVs as therapeutics. The review ends with remarks about areas to focus on using EVs going forward.


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