Dataset. by Jinshan Qi (5180714)

“…Additionally, a graph regularizer that fully utilizes the local class information is developed and introduced to the new framework so as to enhance the classification accuracy and prevent overfitting. …”

Data Sheet 2_PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients.xlsx by Yufeng Wang (274657)

“…</p>Results<p>Data from public databases revealed significant upregulation of PDP1 in BC samples compared to normal tissues. A RiskScore model based on PDP1-related differential ferroptosis-related genes (FRGs) ACSL1, BNIP3, and EMC2 was developed, which effectively predicted BC patient prognosis. …”

<b>NanoNeuroBot: Beyond Healing, Toward Human Connection</b> by ahmed hossam (21420446)

“…The research also explores development timelines, projected budgets, ethical concerns, and translational potential in both clinical and commercial applications.…”

Data Sheet 3_PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients.xlsx by Yufeng Wang (274657)

“…</p>Results<p>Data from public databases revealed significant upregulation of PDP1 in BC samples compared to normal tissues. A RiskScore model based on PDP1-related differential ferroptosis-related genes (FRGs) ACSL1, BNIP3, and EMC2 was developed, which effectively predicted BC patient prognosis. …”

Image 1_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Data Sheet 2_Construction of a management protocol for high-risk neurogenic bladder in Chinese patients with type 2 diabetes: a Delphi study.docx by Senying Luo (22449328)

“…</p>Methods<p>Through a two-round Delphi consensus process involving 20 national experts and evidence synthesis from 13 clinical guidelines and a systematic review, we developed China’s first hierarchical NB risk stratification system. …”

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation by Ryo Tamura (1957942)

“…<p>The orchestration software (OS) for controlling self-driving laboratories (SDLs) has been advanced significantly in recent years. We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. …”

A systematic review of ionizing radiation-induced glaucoma: clinical manifestations, pathogenesis, and current treatment approaches by Anqi Wu (3413069)

“…Advancing the field will require mechanistic studies to clarify radiation-induced optic neuropathy and vascular injury, alongside well-designed trials to establish preventive strategies and evidence-based treatment algorithms.</p>…”

Supporting Data for "Intelligent prediction of steel corrosion in cementitious materials via machine learning" by Haodong Ji (11129136)

“…<p dir="ltr">This dataset is associated with the PhD thesis "Intelligent prediction of steel corrosion in cementitious materials via machine learning", which focuses on the development of data-driven and physics-informed machine learning models for predicting the corrosion behavior of steel in cementitious environments. …”

Data Sheet 1_PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients.xlsx by Yufeng Wang (274657)

“…</p>Results<p>Data from public databases revealed significant upregulation of PDP1 in BC samples compared to normal tissues. A RiskScore model based on PDP1-related differential ferroptosis-related genes (FRGs) ACSL1, BNIP3, and EMC2 was developed, which effectively predicted BC patient prognosis. …”

Image 5_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Data Sheet 4_PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients.xlsx by Yufeng Wang (274657)

“…</p>Results<p>Data from public databases revealed significant upregulation of PDP1 in BC samples compared to normal tissues. A RiskScore model based on PDP1-related differential ferroptosis-related genes (FRGs) ACSL1, BNIP3, and EMC2 was developed, which effectively predicted BC patient prognosis. …”

Data Sheet 1_Construction of a management protocol for high-risk neurogenic bladder in Chinese patients with type 2 diabetes: a Delphi study.doc by Senying Luo (22449328)

“…</p>Methods<p>Through a two-round Delphi consensus process involving 20 national experts and evidence synthesis from 13 clinical guidelines and a systematic review, we developed China’s first hierarchical NB risk stratification system. …”

Table 1_Advances in the application of human-machine collaboration in healthcare: insights from China.docx by Wuzhen Wang (20675405)

“…“Human–machine collaboration” is based on an intelligent algorithmic system that utilizes the complementary strengths of humans and machines for data exchange, task allocation, decision making and collaborative work to provide more decision support. …”

Image 2_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Table 1_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.docx by Erin McDonald (3535409)

“…These animals were categorized based on pruritic behavior or routine check-ups (non-pruritic controls).…”

Detection of Polycystic Ovarian Disease Using Probabilistic Optimum Deep Learning Feature Fusion by S. Jothimani (22173866)

“…Reformed differential evaluation (RDE) and reformed grey wolf (RGW) are two enhanced optimisation algorithms used to choose the best features; A unique probability-based serial strategy is employed to combine the best-selected attributes and categorised using deep learning techniques. …”

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

“…This dataset was specifically developed to support machine learning model training for toxicity prediction and represents the result of an extensive multi-stage data extraction and curation pipeline. …”

Image 1_Deep learning and multi-omics reveal programmed cell death-associated diagnostic signatures and prognostic biomarkers in gastric cancer.pdf by Qiaoying Jin (21489770)

“…A scoring-based clustering framework integrating multiple machine learning algorithms was developed to define high-resolution molecular subtypes and construct a deep learning signature. …”

Table 1_Deep learning and multi-omics reveal programmed cell death-associated diagnostic signatures and prognostic biomarkers in gastric cancer.xlsx by Qiaoying Jin (21489770)

“…A scoring-based clustering framework integrating multiple machine learning algorithms was developed to define high-resolution molecular subtypes and construct a deep learning signature. …”