Data_Sheet_1_A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment.docx by Tarik S. Bel-Bahar (13967229)

“…We performed a scoping review of longitudinal and pre-post treatment EEG studies that explored putative changes in brain function associated with abstinence and/or treatment in individuals with SUD. …”

Image_1_Biphasic response of human iPSC-derived neural network activity following exposure to a sarin-surrogate nerve agent.JPEG by Chandrakumar Bogguri (11621443)

“…Regardless of the NIMP concentration, at a network level, communication or coordination of neuronal activity decreased as early as 60 min and persisted at 24 h of NIMP exposure. …”

Data Sheet 1_Trends in prescription opioid use in Europe: A DARWIN EU® multinational cohort study including seven European countries.docx by Junqing Xie (7514219)

“…As concerns grow about a similar situation developing in Europe, we evaluated the trends in opioid use and characterized prescribing indications across seven European countries.…”

Data_Sheet_1_A Comprehensive Analysis of Key Immune Checkpoint Receptors on Tumor-Infiltrating T Cells From Multiple Types of Cancer.pdf by Xi Li (19208)

“…With access to fresh surgical samples, this study simultaneously investigated the ex vivo expression level of eight known immune checkpoint receptors [PD-1, cytotoxic T-lymphocyte antigen-4 [CTLA-4], T-cell immunoglobulin and mucin-domain containing-3 [Tim-3], 2B4, killer cell lectin like receptor G1 [KLRG-1], TIGIT, B- and T-lymphocyte attenuator [BTLA], and CD160] on tumor-infiltrating T cells (TILs) and paired circulating T cells in blood from a 131-patient cohort.</p><p>Results: We found increased an expression of PD-1 and Tim-3 but a decreased expression of BTLA on TILs when compared with peripheral blood from multiple types of cancer. …”

Table_1_Emergence of Hypervirulent ST11-K64 Klebsiella pneumoniae Poses a Serious Clinical Threat in Older Patients.XLSX by Tian Wei (5533379)

“…<p>The carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP) poses a severe therapeutic challenge to global public health, and research on CR-hvKP in older patients remain limited. …”

Data_Sheet_1_The development of a recovery coaching training curriculum to facilitate linkage to and increase retention on medications for opioid use disorder.pdf by Trevor Moffitt (17971727)

“…Introduction<p>Medication treatment for opioid use disorder (MOUD) decreases opioid overdose risk and is the standard of care for persons with opioid use disorder (OUD). …”

Household poverty trajectory during the study period. by Shah-Al Emran (11419059)

Landscape data. by Maggie Shanahan (17879479)

Data_Sheet_1_Case Report: Wiskott-Aldrich Syndrome Caused by Extremely Skewed X-Chromosome Inactivation in a Chinese Girl.zip by Xuening Hou (11093886)

“…Although affected males with WAS usually manifest severe symptoms, female carriers have no significant clinical manifestations. Here, we describe a Chinese girl diagnosed with WAS carrying a heterozygous missense mutation in exon 2 of the WAS gene. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Machine Learning Enables Accurate Prediction of Quinone Formation during Drug Metabolism by Hardeep Sandhu (9205231)

“…In addition, the presence of a nitrogen atom in an aromatic ring and the presence of metabolophores V51, V52, and V53 (SMARTCyp descriptors) decrease the probability of quinone formation. …”

Image_1_PIK3CA-Related Overgrowth Spectrum From Diagnosis to Targeted Therapy: A Case of CLOVES Syndrome Treated With Alpelisib.JPEG by Angelica Pagliazzi (11413274)

“…We noticed a decrease in fibroadipose overgrowth at the dorsal level, an improvement in in posture and excellent tolerability. …”

Image_2_PIK3CA-Related Overgrowth Spectrum From Diagnosis to Targeted Therapy: A Case of CLOVES Syndrome Treated With Alpelisib.JPEG by Angelica Pagliazzi (11413274)

“…We noticed a decrease in fibroadipose overgrowth at the dorsal level, an improvement in in posture and excellent tolerability. …”

Supplementary Material for: Multifaceted Intervention Including Motivational Interviewing to Support Medication Adherence after Stroke/Transient Ischemic Attack: A Randomized Trial by Hedegaard U. (4149937)

“…At 12 months, the median MPRs (IQR) were 0.95 (0.77-1) in the intervention group and 0.91 (0.83-0.99) in the control group, and 28 and 21% of the patients, respectively, were nonadherent (MPR <0.80; risk difference: 7%; 95% CI: -5 to 19%). In both groups, the median MPR decreased over time. …”