Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model.

This article details the development of a next-word prediction model utilizing federated learning and introduces a mechanism for detecting backdoor attacks. Federated learning enables multiple devices to collaboratively train a shared model while retaining data locally. However, this decentralized approach is susceptible to manipulation by malicious actors who control a subset of participating devices, thereby biasing the model's outputs on specific topics, such as a presidential election.

Finding a constrained number of predictor phenotypes for multiple outcome prediction.

Background: Prognostic models help aid medical decision-making. Various prognostic models are available via websites such as MDCalc, but these models typically predict one outcome, for example, stroke risk. Each model requires individual predictors, for example, age, lab results and comorbidities.

Perceptions of Palliative Care Among Patients With Kidney Allograft Dysfunction: A Qualitative Study.

Rationale & Objective: Nearly half of kidney transplant recipients develop allograft failure within 10 years of transplantation and experience high mortality, significant symptom burden, and complex communication challenges. These patients may benefit from palliative care, but palliative care is infrequently provided in this population. This study explores palliative care perceptions and needs among patients with poorly functioning and declining kidney allografts.

Moving toward Interprofessional Teaching in the Intensive Care Unit: A Mixed Methods Study.

Background: There is an evolving focus on interprofessional education (IPE) to promote teamwork and collaboration in health professions education. Studies in medical students have shown that exposure to IPE leads to perceived improvements in interprofessional communication, effective work in healthcare teams, and understanding of professional limitations. Most research focuses on IPE in undergraduate medical education; less is known about how this functions in graduate medical education.

Intratumoral Injection of mRNA-2752 and Pembrolizumab for High-Risk Ductal Carcinoma In Situ: A Phase 1 Nonrandomized Clinical Trial.

Importance: Intratumoral immunotherapy that leverages the biological characteristics of high-risk ductal carcinoma in situ (DCIS) may be able to reduce the extent of surgical treatment and provide an alternative approach to improve patient outcomes.

Objective: To determine if combination intratumoral immunotherapy can activate immune cells to shrink or eliminate high-risk DCIS.

Design, Setting, And Participants: This phase 1 open-label nonrandomized clinical trial at a single academic center tested the safety and efficacy of intratumoral immunotherapy in patients with high-risk DCIS, defined as at least 2 of the following present: younger than 45 years, tumor size greater than 5 cm, high-grade, palpable mass, hormone receptor (HR)-negative, or ERBB2-positive.