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Performance of Google NotebookLM for AI-assisted data extraction and consensus statement generation in a heterogenous systematic review on inflammatory bowel disease, obesity, and cardiometabolic comorbidities: A Methodological Report
Samaan, Sami , Devi, Jalpa , VINCENT, Matthew, Coombs, Shannon , Sehgal, Priya , Mohamed, Mouhand , Rai, Victoria , Johnson, Amanda M. , Yarur, Andrés , Barnes, Edward L. , Mohamed, Mouhand F H , Yarur, Andres J , Deepak, Parakkal , Barnes, Edward L , Devi, Jalpa , Sehgal, Priya , Coombs, Shannon , Deepak, Parakkal

Mayo Clinic

No container title available | June 26, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.06.16.26355773 | PMID 42396330 Get It

Abstract Background Large language models (LLMs) offer promise for systematic review data extraction, but performance in complex multidisciplinary domains and utility for clinical statement generation remain insufficiently described. Objectives To evaluate Google NotebookLM for AI-assisted data extraction and RAND/UCLA consensus statement generation in a systematic review of IBD, obesity, and cardiometabolic comorbidities. Methods Studies were organized into domain-specific notebooks; structured prompts generated standardized evidence tables. Two independent reviewers validated outputs against full-text articles using a four-category error classification. Cell-level accuracy and critical accuracy (cells free of major factual errors) were the primary metrics; workflow time was compared against a published conventional extraction benchmark. Concordance between AI-generated and expert-finalized statements was assessed. Results Across 57 articles, 1,710 data cells were extracted; 151 (8.83%) were flagged, yielding 91.17% cell-level accuracy. Major factual errors occurred in only 4 cells (0.23%), for a critical accuracy of 99.77%. Most errors were minor omissions (59.6%) or incomplete extractions (30.5%); domain error rates ranged from 7.08% to 11.33%. The pipeline required 17.7 versus a projected 165.1 person-hours (89.3% reduction). PICO-structured prompting generated 70 candidate statements; 58 of 112 finalized panel statements (51.8%) were AI-derived, and 85.7% were retained in the finalized set. Conclusion Google NotebookLM demonstrates feasibility as a primary extraction and synthesis tool in a multidisciplinary systematic review, with extractive incompleteness as the principal limitation and substantial time savings over conventional approaches. Its novel application to RAND/UCLA consensus statement generation extends AI-assisted evidence synthesis to clinical consensus generation workflow.
Combining post-mortem and neuroimaging measures of brain amyloidosis to accelerate genomic discovery
Wang, Ting‐Chen , Ali, Muhammad, Wu, Yiyang , Mormino, Elizabeth, Buckley, Rachel F. , Saykin, Andrew J, Jager, Philip L. De , Schneider, Julie A, Vardarajan, Badri, Mayeux, Richard, Kunkle, Brian W, Keene, C Dirk, Seshadri, S, Sperling, Reisa A, Kamboh, M Ilyas, Jagust, William J. , Schellenberg, Gerard D, Huentelman, MJ, Hamilton-Nelson, Kara, Pericak-Vance, Margaret A, Haines, Jonathan L, Montine, Thomas J, Beecham, Gary, Archer, Derek , Wu, Yiyang , Buckley, Rachel F , De Jager, Philip L , Bennett, David A. , Barnes, Lisa L , Bush, William S , Vemuri, Prashanthi , Ramanan, Vijay K , Harrison, Theresa M , Jagust, William J , Laws, Simon M , Below, Jennifer E , Cruchaga, Carlos , Seto, Mabel , Dumitrescu, Logan , Archer, Derek B. , Ali, Muhammad , Mormino, Elizabeth C. , Lee, Annie , Saykin, Andrew J. , Schneider, Julie A. , Bennett, David A. , Barnes, Lisa L. , Vardarajan, Badri Narayan , Mayeux, Richard , Kunkle, Brian W. , Bush, William S. , Keene, C Dirk, Sperling, Reisa Anne , Vemuri, Prashanthi , Ramanan, Vijay K. , Kamboh, M. Ilyas , Harrison, Theresa M. , Schellenberg, Gerard D. , Hamilton‐Nelson, Kara L. , Pericak‐Vance, Margaret A. , Goate, Alison , Haines, Jonathan L. , Montine, Thomas J. , Beecham, Gary W. , Hohman, Timothy J. , Dumitrescu, Logan

Mayo Clinic

Brain | June 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/brain/awag216 | PMID 42334898 Get It

Abstract Histopathological assessment has served as the gold standard for diagnosing Alzheimer’s disease (AD). Emerging technological advancements, including the development of amyloid positron emission tomography (PET), have enabled early detection of amyloid pathology, one of the neuropathological hallmarks of AD. Genome-wide association study (GWAS) across cohorts of aging and AD, leveraging different measurements of amyloid burden, may facilitate the identification of novel genetic variants that drive the earliest neuropathological changes in AD. This study presents the largest GWAS of brain amyloidosis to date, leveraging amyloid β (Aβ) measured by in vivo amyloid PET and postmortem histopathology from 13,555 individuals of European ancestry. Amyloid positivity was defined as moderate or frequent neuritic plaques according to the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) staging scores for each postmortem cohort. A Gaussian mixture model (GMM) was applied to each amyloid PET cohort to identify the cohort and tracer-specific cut-offs that differentiate amyloid positive and negative populations. In silico and ex vivo analyses further characterized implicated loci, including interrogating the association between bulk and single-nucleus gene expression profiles and AD-related traits. Genetic covariance analysis assessed the extent amyloid PET and postmortem measures reflect the shared genetic architecture of brain amyloidosis. Our combined amyloidosis GWAS identified three established AD risk loci: BIN1 (rs6733839, OR = 1.20, 95% CI 1.14-1.26, P = 1.32 × 10−11), CR1 (rs4844610, OR = 1.24, 95% CI = 1.16-1.32, P = 4.21 × 10−10), APOE (rs429358, OR = 4.01, 95% CI = 3.66-4.38, P = 4.54 × 10−201), and a newly identified brain amyloidosis-associated variant on chromosome 17 (rs35635959, OR = 1.18, 95% CI = 1.12-1.25, P = 1.47 × 10−8). SuSiE fine-mapping identified a single credible set of 15 putative causal variants with rs35635959 as the lead variant. Subsequent eQTL and SuSiE-based colocalization analyses prioritized rs35635959 as a strong eQTL for TUBG2, encoding tubulin gamma 2, which is involved in microtubule organization and synaptic plasticity. Further cell-type-specific characterization of this gene in neurons from dorsolateral prefrontal cortex tissue indicated that decreased TUBG2 expression was associated with increased Aβ burden and AD case status (PFDR < 0.045). Furthermore, our study is the first to report a modest genetic covariance (covariance=0.17, P < 6.54 × 10−8) between the genetic architecture of amyloid burden captured by different modalities. While APOE showed a strong association with both amyloid endophenotypes, the observed genetic covariance was not substantially attenuated after excluding variants within the APOE region (covariance=0.16, P < 1.32 × 10−7). Our results highlight the benefits of leveraging compatible, harmonized AD endophenotypes to increase power to uncover new molecular insights into the etiology of AD neuropathology. Wang et al. present the largest GWAS of brain amyloidosis to date, analysing 13,555 individuals using amyloid PET and postmortem Aβ measures. They identify a novel amyloidosis-associated variant on chromosome 17, demonstrate genetic covariance between modalities, and highlight complex traits sharing genetic architecture with Aβ burden.
Melanoma: Cutaneous, Version 2.2026, NCCN Clinical Practice Guidelines In Oncology
Johnson, Douglas, Albertini, Mark R. , Barker, C. A., Bateni, Sarah, Baumgartner, Joel, Bichakjian, Christopher, Boland, Genevieve , Chandra, Sunandana , Chen, David, Choi, Jacob, DiMaio, Dominick, Dronca, Roxana, Fleming, Martin D. , Galan, Anjela , Guild, Samantha, Hu-Lieskovan, Siwen, Karakousis, Giorgos, Kendra, Kari, Kiuru, Maija, Lange, Julie R., Lanning, Ryan, Logan, Theodore, Materin, Miguel, Nelson, Kelly, Olson, Daniel, Pa, Ott, Puzanov, Igor, Rothermel, Luke, Salama, April K., Shannon, Adrienne, Singh, Arun, Stacey, Andrew, Tsai, Katy, Wuthrick, Evan, Xing, Yan, McMillian, Nicole, Espinosa, Sara, Swetter, Susan M. , Johnson, Douglas B., Barker, Christopher A. , Baumgartner, Joel , Bhatia, Shailender , Bichakjian, Christopher K. , Chmielowski, Bartosz , DiMaio, Dominick J. , Guild, Samantha, Hu‐Lieskovan, Siwen , Karakousis, Giorgos C. , Kiuru, Maija H. , Lanning, Ryan M. , Logan, Theodore F. , Materin, Miguel Angel , Nelson, Kelly C., Olson, Daniel , Olszanski, Anthony J. , Puzanov, Igor , Rothermel, Luke D. , Salama, April K.S. , Sharma, Rohit , Wuthrick, Evan , McMillian, Nicole R.

Mayo Clinic

Journal of the National Comprehensive Cancer Network | June 15, 2026 | Volume: 24 | Issue: 6 | Pages: 272-277

10.6004/jnccn.2026.0027 | PMID 42297031 Get It

The NCCN Guidelines for Melanoma: Cutaneous provide strategies for the diagnosis, treatment, and follow-up of patients with cutaneous melanoma, which is among the most common cancers in the United States. The outcome of cutaneous melanoma is significantly influenced by stage at initial presentation. Generally, localized disease and smaller primary tumors have been associated with more favorable prognosis. Thus, the select content featured in this issue focuses on risk factors associated with cutaneous melanoma development and which should be considered during an initial assessment. These include (1) phenotypic predispositions, (2) personal medical history or comorbidities, (3) genetic predispositions, and (4) environmental factors.
NCCN Guidelines® Insights: Acute Myeloid Leukemia, Version 3.2026
Patel, Anand , Patel, Anand , Pollyea, Daniel Aaron , Altman, Jessica K. , Assi, Rita, Bachiashvili, Kimo, Bhatt, Vijaya Raj , Fathi, Amir T. , Fedorov, Kateryna, Foran, James M. , Gojo, Ivana , Goldberg, Aaron, Hall, Aric C. , Jonas, Brian A., Levine, Matthew R., Mangan, James, Mannis, Gabriel N. , Marcucci, Guido , Mims, Alice S , Moriarty, Kelsey, Ali, Moaath Mustafa, Neff, Jadee , Nejati, Reza , Olin, Rebecca L. , Patel, Anand, Percival, Mary‐Elizabeth M. , Perl, Alexander E. , Pettit, Kristen, Rao, Dinesh S. , Ravandi‐Kashani, Farhad, Schwabkey, Zaker, Shallis, Rory, Stahl, Maximilian, Stone, Richard M. , Thota, Swapna, Uy, Geoffrey L., Walker, Alison, Wang, Eunice, Awotiwon, Ajibola, Roth, Sydney L., Stehman, Katie

Mayo Clinic

Journal of the National Comprehensive Cancer Network | June 15, 2026 | Volume: 24 | Issue: 6 | Pages: 222-229

10.6004/jnccn.2026.0028 | PMID 42297017 Get It

Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy characterized by the clonal expansion of myeloid blasts in the peripheral blood, bone marrow, and/or other tissues. It is the most common form of acute leukemia among adults and accounts for the largest number of annual deaths from leukemias in the United States. 1 The NCCN Guidelines Panel for AML convenes annually to update recommendations for the diagnosis and treatment of AML in adults. These recommendations are based on a review of recently published clinical trials that have led to significant improvements in treatment or have yielded new information regarding biologic factors that may have prognostic importance. These NCCN Guidelines Insights summarize the panel’s most recent recommendations regarding the monitoring and management of measurable (minimal) residual disease.
Genomic Confirmation of HLA‐C*01:155 , by Next Generation Sequencing
Merschman, Jarret , Barnes, Rachel, Kreuter, Justin, Wakefield, Laurie, Gandhi, Manish J. , Gandhi, Manish , Kreuter, Justin D. , Wakefield, Laurie L.

Mayo Clinic

HLA | June 15, 2026 | Volume: 107 | Issue: 6 | Pages: No page available

10.1111/tan.70802 | PMID 42289344 Get It

ABSTRACT HLA‐C*01:155 is characterised by a single nucleotide substitution in codon 225 in exon 4.
Characterisation of the Novel HLA‐A*26:268 Allele by Next Generation Sequencing
Merschman, Jarret , Barnes, Rachel, Kreuter, Justin, Wakefield, Laurie, Gandhi, Manish J. , Gandhi, Manish , Kreuter, Justin D. , Wakefield, Laurie L.

Mayo Clinic

HLA | June 13, 2026 | Volume: 107 | Issue: 6 | Pages: No page available

10.1111/tan.70788 | PMID 42286938 Get It

ABSTRACT The novel HLA‐A*26:268 allele is characterised by a single nucleotide substitution in exon 7.
Paid Sick Leave, Care Delays, and Mortality Risk in Working Cancer Survivors
Kohut-Jackson, Abigail , Chino, Fumiko , Zheng, Zhiyuan , Han, Xuesong , Johnson, Kimberly , Yabroff, K. Robin , Johnston, Kenton J. , Barnes, Justin M. , Johnson, Kimberly J , Johnston, Kenton , Han, Xuesong , Yabroff, K Robin

Mayo Clinic

JCO Oncology Practice | June 10, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1200/op-26-00261 | PMID 42269119 Get It

PURPOSE Cancer survivors endure costly and time-intensive care throughout treatment and survivorship. Paid sick leave provides employment and financial stability while supporting time off for medical needs. We investigated whether paid sick leave is associated with financial hardship and overall and cancer-specific mortality risk in working adult cancer survivors. METHODS Working adults age 18-64 years with a cancer history were identified from the National Health Interview Survey (NHIS) between 2011 and 2023. Associations of paid sick leave and financial hardship (medical care delays, problems paying medical bills, worry about paying medical bills, and cost-related medication underuse) were examined with 2011-2018 and 2019-2023 data using separate multivariable logistic regressions because of survey redesign in 2019. Linked mortality files from the National Death Index were available for 2011-2018 respondents. The association of paid sick leave and mortality risk was examined with multivariable Cox proportional hazards models. RESULTS A total of 8,091 and 3,919 working cancer survivors were identified from the 2011-2018 and 2019-2023 NHIS, respectively. Paid sick leave was associated with decreased medical care delays because of cost (2011-2018 odds ratio [OR], 0.74 [95% CI, 0.60 to 0.93]; P = .008; 2019-2023 OR, 0.51 [95% CI, 0.35 to 0.74]; P < .001) but not consistently with other forms of financial hardship. In adjusted analyses, paid sick leave was associated with significant reductions in risk of overall mortality (hazard ratio [HR], 0.74 [95% CI, 0.61 to 0.9]; P = .003) and cancer mortality (HR, 0.74 [95% CI, 0.61 to 0.91]; P = .003). CONCLUSION In working cancer survivors, paid sick leave is associated with decreased care delays and lower overall and cancer-specific mortality risk, which may be due to maintained employment, household income, and health insurance coverage leading to improvements in treatment access, affordability, and overall survivorship care.
Introducing the 2026 Focused Issue on Venous Disease: What excites us most about the future of this field
Gornik, Heather L. , Kanthi, Yogendra , McBane, Robert D. , Weinberg, I, Barnes, Geoffrey D. , Piazza, Gregory, Vedantham, Suresh , Kolluri, Raghu , McBane, Robert , Weinberg, Ido , Piazza, Gregory

Mayo Clinic

Vascular Medicine | June 10, 2026 | Volume: 31 | Issue: 3 | Pages: 260-263

10.1177/1358863x261426953 | PMID 42267762 Get It

Characterisation of the Novel HLA‐DPA1*03:25 Allele by Next Generation Sequencing
Merschman, Jarret , Barnes, Rachel, Wakefield, Laurie, Kreuter, Justin, Gandhi, Manish J. , Gandhi, Manish , Wakefield, Laurie L., Kreuter, Justin D.

Mayo Clinic

HLA | May 29, 2026 | Volume: 107 | Issue: 6 | Pages: No page available

10.1111/tan.70773 | PMID 42210829 Get It

ABSTRACT HLA‐DPA1*03:25 is characterised by a single nucleotide substitution in codon 96 in exon 3.
Initial safety and efficacy of A2B694, a logic-gated mesothelin (MSLN)–targeted Tmod chimeric antigen receptor T-cell (CAR T) therapy in patients with advanced solid tumors with HLA-A*02 loss of heterozygosity (LOH).
Molina, Julian R. , Ward, Jeffrey, Hecht, J. Randolph, Kirtane, Kedar, Marar, Rosalyn, Fankuchen, Olivia Rose, Mitchell, Jasmine, Maloney, David G. , Patel, Sandip Pravin , Dorigo, Oliver, He, Kai, Lou, Yanyan, Kundranda, Madappa N. , Xuan, Jacqueline D., Avila, Monica , Ward, Jeffrey, Kirtane, Kedar , Fankuchen, Olivia , Mitchell, Jasmine , Maus, Marcela V , Eng, Cathy , Hazim, Antonious , Dorigo, Oliver , Vu, Peter , Punekar, Salman R.

Mayo Clinic

Journal of Clinical Oncology | May 28, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 8579-8579

10.1200/jco.2026.44.16_suppl.8579 Get It

8579 Background: LOH may provide a means to target tumor versus normal cells, to augment the efficacy and safety of MSLN-targeted programs (Hecht et al. JCO . 2022). A2B694 is an autologous, logic-gated, Tmod CAR T therapy designed to improve tumor selectivity and decrease toxicity by integrating an MSLN CAR activator with an HLA-A*02 blocker (Hamburger et al. Mol Imm. 2020). Methods: The first-in-human, open-label, phase 1/2 EVEREST-2 (NCT06051695) study of A2B694 in patients with recurrent/metastatic MSLN-expressing cancers with tumor-associated HLA-A*02 LOH. The prescreening study BASECAMP-1 (NCT04981119) identifies eligible patients and cryopreserves leukapheresis product. Upon progression, A2B694 is manufactured and administered after lymphodepletion. Phase 1 primary objective: evaluate the safety and tolerability of A2B694 and identify a recommended phase 2 dose. Results: As of 05 January 2026, 13 patients were enrolled: 8 women/5 men, median age 59 years, 11 non-Hispanic White/2 Hispanic with unknown race. Tumor types included colorectal (n = 4), ovarian (n = 3), pancreatic (n = 3), non–small cell lung adenocarcinoma (NSCLC), gastro-esophageal, and mesothelioma (n = 1 each). A2B694 dose level (DL) groups were: DL1: 1×10 8 cells (n = 3), DL2: 2×10 8 cells (n = 4), DL3: 4×10 8 cells (n = 5), and DL4: 6×10 8 cells plus low-dose IL-2 (n = 1). Lymphodepletion prior to administration of A2B694 was well-tolerated, with expected, transient cytopenias. The only adverse event reported in more than 1 patient was grade 3 neutropenia. One patient had grade 3 ICANS and 1 patient had grade 1 CRS. There were no dose-limiting toxicities or new safety signals after up to 17 months follow-up. All 13 patients received A2B694, were efficacy-evaluable, and had A2B694 detected post-infusion in peripheral blood. While A2B694 was not detected in tumor biopsies collected in patients treated at DL1 (0/2), all patients treated at DL2-DL4 with available biopsies (3/3) had detectable A2B694 in the tumor microenvironment. A patient with KRAS G12V /STK11 co-mutated NSCLC who had progressed on carboplatin, pemetrexed, and pembrolizumab achieved a complete response (CR) at D90 post-infusion per RECIST 1.1 by central review and had a confirmed CR at D180. In addition, PET-CT scan and ctDNA on D190 demonstrated no evidence of disease. On D243, the patient had a CNS relapse, with an ongoing non-CNS CR per RANO-BM at D284. At M12, the patient's CT showed no new findings and persistence of A2B694 in the blood was confirmed by ddPCR. Conclusions: We report the first patient with NSCLC to have a CR after CAR T. Overall, A2B694 demonstrated manageable safety and tolerability in patients with advanced solid MSLN-expressing tumors with tumor-associated HLA-A*02 LOH. The maximum tolerated dose has not been reached; dose-escalation continues. Clinical trial information: NCT06051695 .