Radiopharmaceuticals for diagnostic oncology
Notice bibliographique
Résumé
Medicinal Chemistry and the Radiopharmaceutical Sciences The radiopharmaceutical sciences are founded in Medicinal Chemistry and applied in Nuclear Medicine. The radiopharmaceutical sciences include a large component of drug design and development, and encompass the physics and chemistry of radionuclide production using nuclear reactors and charged particle accelerators (c.g. cyclotrons), as well as the synthesis and radiolabelling of precursor molecules, radiation dosimetry, biological testing, pharmacokinetic and kinetic modeling, and the administration of diagnostic and therapeutic doses of radiopharmaceuticals to patients. Radiopharmacy, as it pertains more narrowly to the practice of pharmacy, is a subdiscipline of medicinal and pharmaceutical chemistry in many Schools of Pharmacy. In several countries, radiopharmacy (or nuclear pharmacy) practice is recognized as a professional sub-specialty in Pharmacy, and is governed by state regulatory authority. Radiopharmaceutical research and radiopharmacy practice are also found within academic departments in chemistry and physics, and are practiced in nuclear medicine departments of major hospitals, worldwide. My research has evolved from medicinal chemistry, with a focus on the design, synthesis, radiolabelling, and biological and clinical evaluation of novel compounds that are of medicinal interest. Personal Contributions to the Submitted Publications Radiopharmaceutical chemistry and the development of radiopharmaceuticals is the pervading theme of the research publications arising from my research activities. The publications presented in this submission are based on research conducted primarily at the Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, and the Cross Cancer Institute (Edmonton). Research collaborations have included scientists from the Deutsches Krebsforschungszentrum (Heidelberg), the Tuebingen Universitaet PET Center (Tuebingen), the Daniel den Hoed Cancer Hospital (Rotterdam), the Rega Institute (Leuven), Ansto (Sydney), the University College of London Medical School (London) and the Peter MacCallum Cancer Institute (Melbourne). Publications submitted date from 1970 through 2000. The early publications (to the late 1970's) reflect research that I have either conducted or assisted in personally at the research bench. The majority of the remaining papers reflect my research leadership in terms of concepts, experimental design and execution, and manuscript preparation. It is my practice to actively participate in all publications that I co-author, and in general, to place the names of junior scientists (e.g. graduate students) ahead of senior co-authors. In no case am I a co—author because of administrative positions I have held (e.g. Division head; Director). The senior collaborators who have influenced the scientific evolution of my work are named in the following paragraphs. Junior scientists (e.g. graduate students, post-doctoral fellows, research associates) have made important contributions, especially at the research bench. The manuscripts are grouped into three main categories, which are introduced in the following paragraphs. Published abstracts, and international patents on hypoxia imaging, gene therapy imaging, and drug delivery based on cyclodextrins, are not included in this material.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,062 | 0,051 |
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 source (Gemma direct ou Codex distillé), 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 ».