The Houston Society of Clinical Pathologists 55th Annual Spring Symposium, April 2014
Notice bibliographique
Résumé
The Houston Society of Clinical Pathologists educational activity culminates in the Spring Symposium, held every year in April in Houston, Texas. The guest faculty is sponsored by the institutions that form the famed Texas Medical Center and the University of Texas Medical Branch in Galveston. The articles selected for this special section are based on presentations at the symposium and at sponsoring institutions and will appear in 2 parts: part I is in this issue of the Archives, and part II will be in the July issue.The special section comprises 8 articles written by distinguished, nationally and internationally recognized experts in gastrointestinal (GI) and liver pathology from the United States and Canada. In this issue, part I of the special section will include 4 articles: “Esophagitis: Old Histologic Concepts and New Thoughts,” “Molecular and Histologic Considerations in the Assessment of Serrated Polyps,” “IgG4-Related Disease of the Gastrointestinal Tract: A 21st Century Chameleon,” and “Neuroendocrine Tumors of the Luminal Gastrointestinal Tract.”In the next issue of the Archives, part II will also include 4 articles: “Difficult Diagnostic Problems in Pancreatobiliary Neoplasia,” “Pathophysiology and Diseases of the Terminal Pathways of the Biliary System,” “Hepatic Granulomas: A Review With Emphasis on Infectious Causes,” and “Drug-Induced Liver Injury.” Each of these topics poses certain challenges to the practicing surgical pathologist. Authors are allowed to express their personal opinions and preferences in these articles. Although some readers may disagree with some of the opinions presented in these reviews, I believe most readers (including myself) will benefit from the personal experiences of these highly regarded and respected authors. I hope you enjoy reading this section and find the information presented useful in your daily practice.We thank Ms LaCoya Boone whose support, organizational skills, and tireless efforts made the symposium a success.Mamoun Younes, MD, is a professor of pathology and director of the gastrointestinal (GI) and liver pathology service at the University of Texas Medical School (Houston). Following graduation with an MD degree from the Faculty of Medicine of Aleppo University in Syria, Dr Younes completed a basic science fellowship at the Digestive Disease Branch, National Institute of Diabetes and Digestive Kidney Diseases, National Institutes of Health (Bethesda, Maryland), followed by residency training in anatomic pathology at Yale University School of Medicine (New Haven, Connecticut), then a GI pathology fellowship at Baylor College of Medicine (Houston, Texas). In addition to his interest in GI pathology, his research interests include premalignant and malignant tumors of the GI tract, liver, and pancreas; biomarkers; immunohistochemistry; and image analysis. Dr Younes is also currently a section editor, Gastrointestinal Pathology, for the Archives of Pathology & Laboratory Medicine.Asif Rashid, MBBS, PhD, is a professor of pathology and section chief of the Gastrointestinal and Liver Pathology Section at the University of Texas MD Anderson Cancer Center (Houston). Following graduation with an MBBS degree from the Dow Medical College, Karachi University in Pakistan, Dr Rashid completed a PhD at Boston University School of Medicine (Boston, Massachusetts), then residency training in anatomic pathology at Massachusetts General Hospital, Harvard University (Boston), followed by fellowships in surgical pathology at Massachusetts General Hospital and in gastrointestinal (GI) pathology at Johns Hopkins Hospital, Johns Hopkins University (Baltimore, Maryland). In addition to his interest in GI and liver pathology, his research interests include genetic and epigenetic alterations in premalignant and malignant tumors of the GI tract, liver, biliary tract, and pancreas. Dr Rashid is also currently a section editor in Hepatopathology for the Archives of Pathology & Laboratory Medicine.
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 | 0,005 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,106 | 0,058 |
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 ».