The microscopic detection of animal proteins in feeds

In the framework of the European Union funded research project STRATFEED for detection and identification of animal proteins in feeds, the microscopic method was optimized at several key steps and better documented. A check list was developed for uniform reporting. Characters of bone fragments, hairs, muscles and gills are fully documented. A so-called muscle ratio has been developed for the identification of muscle fibers at the level of vertebrate classes (mammals, birds and fishes). Both the improved protocol and the entire range of characters which can be observed, are documented in a Decision Support System called ARIES (Animal Remains Identification and Evaluation System). A second internet-based system called STRATFEED-DSS exclusively assists in identification of animal particles in feeds. A new strategy with microscopy as screening technique and either DNA or protein identification as confirmation technique is proposed. The advantages of this combination are the extremely low level of false negatives, low detection limits and the heat-resistant nature of microscopic detection, together with the possibility of a very specific identification of particles by one of the other methods

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: The PANDA challenge

Through a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalog of models for prostate cancer pathology, and represents a blueprint for evaluating AI algorithms in digital pathology. Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge-the largest histopathology competition to date, joined by 1,290 developers-to catalyze development of reproducible AI algorithms for Gleason grading using 10,616 digitized prostate biopsies. We validated that a diverse set of submitted algorithms reached pathologist-level performance on independent cross-continental cohorts, fully blinded to the algorithm developers. On United States and European external validation sets, the algorithms achieved agreements of 0.862 (quadratically weighted kappa, 95% confidence interval (CI), 0.840-0.884) and 0.868 (95% CI, 0.835-0.900) with expert uropathologists. Successful generalization across different patient populations, laboratories and reference standards, achieved by a variety of algorithmic approaches, warrants evaluating AI-based Gleason grading in prospective clinical trials.KWF Kankerbestrijding ; Netherlands Organization for Scientific Research (NWO) ; Swedish Research Council European Commission ; Swedish Cancer Society ; Swedish eScience Research Center ; Ake Wiberg Foundation ; Prostatacancerforbundet ; Academy of Finland ; Cancer Foundation Finland ; Google Incorporated ; MICCAI board challenge working group ; Verily Life Sciences ; EIT Health ; Karolinska Institutet ; MICCAI 2020 satellite event team ; ERAPerMe

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Through a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalog of models for prostate cancer pathology, and represents a blueprint for evaluating AI algorithms in digital pathology.Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge-the largest histopathology competition to date, joined by 1,290 developers-to catalyze development of reproducible AI algorithms for Gleason grading using 10,616 digitized prostate biopsies. We validated that a diverse set of submitted algorithms reached pathologist-level performance on independent cross-continental cohorts, fully blinded to the algorithm developers. On United States and European external validation sets, the algorithms achieved agreements of 0.862 (quadratically weighted kappa, 95% confidence interval (CI), 0.840-0.884) and 0.868 (95% CI, 0.835-0.900) with expert uropathologists. Successful generalization across different patient populations, laboratories and reference standards, achieved by a variety of algorithmic approaches, warrants evaluating AI-based Gleason grading in prospective clinical trials

Understanding and responding to prescribing patterns of sodium valproate-containing medicines in pregnant women and women of childbearing age in Western Cape, South Africa

Growing evidence of the teratogenic potential of sodium valproate (VPA) has changed prescribing practices across the globe; however, the impact of this research and the consequent dissemination of a Dear Health Care Professional Letter (DHCPL) in December 2015, recommending avoidance of the teratogen VPA in women of childbearing age (WOCBA) and pregnant women in South Africa, is unknown. We explored trends and reasons for VPA use among pregnant women and WOCBA in the public sector in Western Cape Province from 1 January 2015 to 31 December 2017. Methods: Using the provincial health information exchange that collates routine electronic health data via unique patient identifiers, we analysed clinical and pharmacy records from 2015 to 2017 to determine prescription patterns of VPA and other antiepileptic drug (AED) and mood-stabilising medicine (MSM) use in WOCBA and pregnant women. Senior clinicians and policy makers were consulted to understand the determinants of VPA use. Results: At least one VPA prescription was dispensed to between 8205 (0.79%) and 9425 (0.94%) WOBCA from a cohort of approximately 1 million WOCBA attending provincial health care facilities per year

Madeleine Barthélemy-Madaule, Bergson adversaire de Kant. Étude critique de la conception bergsonienne du kantisme suivie d'une bibliographie kantienne. Préface de Vladimir Jankélévitch

Pinckaers S. Madeleine Barthélemy-Madaule, Bergson adversaire de Kant. Étude critique de la conception bergsonienne du kantisme suivie d'une bibliographie kantienne. Préface de Vladimir Jankélévitch. In: Revue Philosophique de Louvain. Troisième série, tome 65, n°88, 1967. pp. 559-561

Bernard Häring, La loi du Christ. Théologie morale à l'intention des prêtres et des laïcs. Tome III: Théologie morale spéciale: La vie en communion fraternelle

Pinckaers S. Bernard Häring, La loi du Christ. Théologie morale à l'intention des prêtres et des laïcs. Tome III: Théologie morale spéciale: La vie en communion fraternelle. In: Revue Philosophique de Louvain. Troisième série, tome 58, n°58, 1960. pp. 320-321

Madeleine Barthélemy-Madaule, Bergson adversaire de Kant. Étude critique de la conception bergsonienne du kantisme suivie d'une bibliographie kantienne. Préface de Vladimir Jankélévitch

Pinckaers S. Madeleine Barthélemy-Madaule, Bergson adversaire de Kant. Étude critique de la conception bergsonienne du kantisme suivie d'une bibliographie kantienne. Préface de Vladimir Jankélévitch. In: Revue Philosophique de Louvain. Troisième série, tome 65, n°88, 1967. pp. 559-561

Georges Kalinowski, Initiation à la philosophie morale. À l'usage de l'homme d'action. Préface de Joseph Folliet

Pinckaers S. Georges Kalinowski, Initiation à la philosophie morale. À l'usage de l'homme d'action. Préface de Joseph Folliet. In: Revue Philosophique de Louvain. Troisième série, tome 65, n°88, 1967. pp. 573-574