Notice bibliographique
Résumé
The 2016 Annual Scientific Meeting (ASM), of the Medical Oncology Group of Australia Incorporated (MOGA) will present a challenging and far-reaching scientific program. The meeting's theme, Implementation+Innovation in Immunotherapy has led the organising committee to develop an innovative and rigorous scientific program that explores many of the emerging challenges and advances in medical oncology research and clinical practice. Leading Australian experts, Professor Grant MacArthur and Dr Alexander Menzies have co-convened an Immuno—Oncology Forum that will consider immunotherapy as well as its role in clinical practice. This informative and comprehensive Forum has a strong practical focus and will be a valuable learning experience for all clinicians. The main program has a strong focus on immunotherapy and genomics as well as innovations and implementations in research and clinical practice across major cancer streams; including lung, kidney, bladder, prostate, gastro-oesophageal, head and neck cancer; and, a symposium on Genomic Health Delivery for the Future. The Program features top-line, international and national speakers. Professor David Carbone, Ohio State University, will share his expertise on lung cancer, lung cancer genetics, cancer immunotherapy, immunosuppression mechanisms and gene therapy. Associate Professor Daniel Heng, Tom Baker Cancer Centre and Cumming School of Medicine, University of Calgary, an internationally renowned kidney cancer specialist who created the Metastatic Renal Cell Carcinoma Database Consortium will provide insight into his high-level research and clinical practice. The International guest speakers will provide a state of art perspective on scientific and research trends as well as share their specialist tumour expertise in one-off presentations. There will also be major symposia complemented by presentations from major Australian specialists. A highlight Breakfast session will be a review of recent activities by ANZUP, ALTG and ANZMTG. Professor Stephen Clarke OAM will also share his extensive expertise and unique professional perspective in his the 2016 Cancer Achievement Award presentation on, Incorporating Research into Clinical Oncology Practice. An industry exhibition and poster display will be complemented by oral sessions for the Best of the Best Research, Trainees and Consultants. The meeting encompasses a rich array of educational and networking opportunities for trainees, young consultants and senior clinicians; new sessions will provide with timely updates from the Royal Australasian College of Physicians; and an update on the all-important Australia Workforce Study #2. Highlights of the social program include the Welcome Reception, the Poster Walk and Talk and the Gala Dinner at Palazzo Versace. Best of ASCO® will be a great opportunity to review and debate the very latest advances in oncology research and afterwards wind-down at a casual BBQ lunch. On behalf of the ASM Planning Committee I invite you to join us on the Gold Coast this August. We trust that you will find some time to enjoy our beautiful surroundings and can guarantee that the 2016 ASM will be a rewarding professional experience. Professor Ken O'Byrne, Convenor Department of Medical Oncology, Princess Alexandra Hospital Queensland University of Technology, Translational Research Institute Queensland Senior Clinical Research Fellow Brisbane, Queensland
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».