Clustering is an important task in data analysis to find a partition on an unlabeled dataset based on similarity relationships among its elements.Typically, such similarity is determined by a proximity measure or distance.Then, the optimal partition is the one that minimizes the distance among elements belonging to the same subset and maximizes the
Lessons from a 3-Year Review of PSMA PET-CT in a Tertiary Setting: Can We Fine Tune Referral Criteria by Identifying Factors Predicting Positivity and Negativity?
Aim of the study: To draw inferences from a retrospective evaluation of PSMA PET CT scans performed for the evaluation of biochemical recurrence.Material and Methods: A retrospective analysis of 295 PSMA PET CT scans spanning 3 years between 2020 and 2022 was undertaken.Results: Of 295 PET CT scans, 179 were positive, 66 were negative and 50 had in
The artificial intelligence and machine learning in lung cancer immunotherapy
Abstract Since the past decades, more lung cancer patients have been experiencing lasting benefits from immunotherapy.It is imperative to accurately and intelligently select appropriate patients for immunotherapy or predict the immunotherapy efficacy.In recent years, machine learning (ML)-based artificial intelligence (AI) was developed in the area