Performance of cryptic prompt injection for two LLMs, Llama 2 and Vicuna 1.5, and two datasets, Peer Review Congress (PRC) Abstracts and PeerRead Papers, at different iterations of... by Vishisht Srihari Rao (22291042)

Data_Sheet_1_A hybrid energy-based and AI-based screening approach for the discovery of novel inhibitors of JAK3.pdf by Juying Wei (13815403)

Data Sheet 1_AI-driven optimization of dynamic vibration absorbers with hydraulic amplifier and mechanical inerter integration.pdf by Ahmed Shamseldin (19759437)

“…Also, multi-objective optimization was performed using particle swarm optimization (PSO) which is considered innovative in this application and compared with commonly used genetic algorithms (GA). …”

Patient baseline information. by Chan Xu (1510759)

“…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”

Univariate and multivariate logistic regression. by Chan Xu (1510759)

“…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”

Comparison of six machine learning methods. by Chan Xu (1510759)

“…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”

Univariate and multivariate Cox regression. by Chan Xu (1510759)

“…<div><p>Objective</p><p>The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithms.</p><p>Methods</p><p>The Surveillance, Epidemiology, and End Results (SEER) database was queried for 4,727 patients with NM based on the inclusion/exclusion criteria. …”

Data Sheet 1_Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay.docx by Anusha Klett (20748443)

DataSheet1_Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study.docx by Sergei Evteev (18294157)

“…</p><p>Results: New low-micromolar inhibitors of CAMKK2 and ATM were designed using the algorithm.</p><p>Discussion: These findings highlight the algorithm’s potential in designing primary hits for further optimization and showcase the capabilities of QFASG as an effective tool in this field.…”

Data_Sheet_1_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal patholo... by Zhenliang Fan (16483491)

Presentation_1_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal patho... by Zhenliang Fan (16483491)

Presentation_2_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal patho... by Zhenliang Fan (16483491)

Table_1_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal pathologists... by Zhenliang Fan (16483491)

Table_1_“What About Automated Pain Recognition for Routine Clinical Use?” A Survey of Physicians and Nursing Staff on Expectations, Requirements, and Acceptance.docx by Steffen Walter (814796)

Data_Sheet_1_Pre-hospital Triage of Acute Ischemic Stroke Patients—Importance of Considering More Than Two Transport Options.docx by Ludwig Schlemm (4844853)

“…Prehospital triage algorithms to determine the optimal transport destination for AIS patients with unknown vessel status have so far only considered two alternatives: the nearest comprehensive (CSC) and the nearest primary stroke center (PSC).…”

Data_Sheet_1_Pre-hospital Triage of Acute Ischemic Stroke Patients—Importance of Considering More Than Two Transport Options.docx by Ludwig Schlemm (4844853)

“…Prehospital triage algorithms to determine the optimal transport destination for AIS patients with unknown vessel status have so far only considered two alternatives: the nearest comprehensive (CSC) and the nearest primary stroke center (PSC).…”