Leahy, Anna  | Bloomsbury USA Academic

22,060원  | 20170907  | 9781501323300

This is a tale of Neria, who works in the House of Death, helping her father to make the mummies. Neria enjoys her work, but when the pharaoh dies, it all goes into overdrive mode. Everyone is so busy that Neria is given the responsibility of mummifying the pharaoh's cat, to accompany him to the Afterlife.

 | Verlag Unser Wissen

48,600원  | 20240919  | 9786208102890

Der Wilms-Tumor (WT) ist der haufigste primare Nierentumor bei Kindern. Etwa 6 % aller Krebserkrankungen im Kindesalter entfallen auf WT. Die derzeitigen Behandlungsrichtlinien umfassen die Nephrektomie, kombinierte Chemotherapieprotokolle und in einigen Fallen eine zusatzliche Strahlentherapie.

 | Edicoes Nosso Conhecimento

48,600원  | 20240919  | 9786208102937

O tumor de Wilms (WT) e o tumor renal primario mais frequente nas criancas. Cerca de 6% de todos os cancros infantis correspondem ao WT. As diretrizes de tratamento actuais incluem a nefrectomia, protocolos de quimioterapia combinada e, em alguns casos, uma radioterapia adicional.

 | Springer Nature B.V.

71,980원  | 20220925  | 9789811934292

This book covers all aspects of Wilms' tumor, the second most typical solid tumor in children. Its potential for complete cure underscores correct management of this tumor. To achieve this goal, the book aims to provide all necessary details for practicing Pediatric surgeons, Oncologists, Pediatricians, Urologists, and Medical students.

 | Springer Nature B.V.

71,980원  | 20230721  | 9789819911844

This book intends to report new concept of?onco-spheres?in cancer ecosystem. ?Onco-spheres?are defined as where cancer cells (living organisms) dynamically interact with nontumor cellular (other living organisms) and noncellular components (non-living environmental factors) in the 'host' internal environment (habitat) to construct a self-sustainable cancer ecosystem, which can be scoped at three different levels: primary/regional, distal and systemic?onco-spheres.

 | MDPI AG

138,580원  | 20250422  | 9783725837007

This Special Issue (SI) focuses on a rare disease by the name of solitary fibrous tumor. This SI includes review articles?and original reports. The original reports range from translational to cinical science and focus on gaining new treatment and management approaches?for this rare disease. I want to thank all contributing authors for their efforts and hard work that made this SI possible.

 | Springer Nature

178,180원  | 20190208  | 9783319886244

This book presents the morphology, possible mechanisms of formation, and clinical relevance of tumor deposits (TDs) in different organs and parts of the body. However, even in colorectal cancers, the place of TDs in tumor staging (tumor, lymph node and distant metastasis categories) remains controversial.

 | Books on Demand

26,100원  | 20210622  | 9783754303443

Uber Jahrzehnte war das Reisen eine der großen Leidenschaften von Rudiger Wiesner. Im Juli 2018 beginnt die bisher schwierigste Reise: Diagnose Krebs! So unerschrocken er die Hindernisse seiner aufregenden und außergewohnlichen Ausfluge genommen hat, so zielstrebig macht er sich daran, die Reise mit, bzw. gegen den unerwunschten Begleiter zu bewaltigen. Eindrucksvoll beschreibt er, angereichert durch Reiseerlebnisse aus der ganzen Welt, den steinigen Weg von der Diagnose bis zur Heilung.

 | New India Publishing Agency- Nipa

110,330원  | 20221226  | 9789395763202

The author also inquires about his saintly persona by questioning his ‘Mahatma’ identity, and his disagree­ments after he meets Gandhi in Yerawada Central Jail in 1933.

 | LAP Lambert Academic Publishing

82,800원  | 20250111  | 9786208422981

Salivary gland tumors are known for their remarkable histologic diversity. This is essentially important due to the interplay of a variety of cells, which include basal, luminar, acinar, and myoepithelial cells. classifying tumors of the salivary glands can be challenging due to their heterogeneous grouping of lesions with significant morphologic diversity. Salivary gland enlargement is less often caused by neoplasia than by inflammatory or other non neoplastic conditions.

Tao  | Nova

144,180원  | 20210101  | 9781606921111

Approximately 15 per cent of human cancer incidence can be attributed to virus infection, ie viruses represent the second most important risk factor (after tobacco consumption) for cancer development in humans. Five virus types are known to be involved in causing human cancer. This book presents the research in this field.

 | Humana Pr Inc

275,380원  | 20180828  | 9783319868745

Collectively, bioengineered tumors create an important resource for the in vitro study of tumor growth in 3D including tumor biomechanics and the effects of anti-cancer drugs on 3D tumor tissue.

 | Springer Nature B.V.

71,980원  | 20171215  | 9783319605104

Cancer cell biology research in general, and anti-cancer drug development specifically, still relies on standard cell culture techniques that place the cells in an unnatural environment. As a consequence, growing tumor cells in plastic dishes places a selective pressure that substantially alters their original molecular and phenotypic properties.

 | Springer Nature B.V.

71,980원  | 20230802  | 9783031229046

It is well recognized that blood could be the optimal site for evaluating cancer, allowing easy and repeated access for determining prognosis, establishing molecular targets, evaluating the efficacy of therapy, detecting the earliest signs of recurrence, and even detecting cancer at its earliest and most curable stages. The analysis of cancer through blood samples is now known as the liquid biopsy and has been a rich source of research and clinical application.

 | KS OmniScriptum Publishing

91,800원  | 20250722  | 9786208063986

Recent studies have shown that deep learning models are capable of providing significant benefits for medical image analysis. When using LSTM for brain tumor detection, you would typically feed the sequential input data, such as MRI scans or patient time series data, into the LSTM model. The model would then learn from the sequential patterns and use that knowledge to classify whether a brain tumor is present or not.