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Emily Bates, Kerri Smith
No abstract text is available yet for this article.
October 11, 2024: Nature
#2
Emma Marris
No abstract text is available yet for this article.
October 11, 2024: Nature
#3
(no author information available yet)
No abstract text is available yet for this article.
October 11, 2024: Nature
#4
Philip Ball
No abstract text is available yet for this article.
October 11, 2024: Nature
#5
Nathalie Béchon
No abstract text is available yet for this article.
October 11, 2024: Nature
#6
Olivier Gimenez
No abstract text is available yet for this article.
October 11, 2024: Nature
#7
Smriti Mallapaty
No abstract text is available yet for this article.
October 11, 2024: Nature
#8
Andrew Robinson
No abstract text is available yet for this article.
October 11, 2024: Nature
#9
Jacob Smith
No abstract text is available yet for this article.
October 10, 2024: Nature
#10
Heidi Ledford
No abstract text is available yet for this article.
October 10, 2024: Nature
#11
Davide Castelvecchi, Ewen Callaway, Diana Kwon
No abstract text is available yet for this article.
October 10, 2024: Nature
#12
Edson Rwagasore, Claude Mambo Muvunyi, Yvan Butera, Sabin Nsanzimana, Jeanine Condo
No abstract text is available yet for this article.
October 10, 2024: Nature
#13
Helena Kudiabor
No abstract text is available yet for this article.
October 10, 2024: Nature
#14
(no author information available yet)
No abstract text is available yet for this article.
October 10, 2024: Nature
#15
Dom Byrne
No abstract text is available yet for this article.
October 10, 2024: Nature
#16
Flora Graham
No abstract text is available yet for this article.
October 9, 2024: Nature
#17
Jonathan C Y Tang, Vitor Paixao, Filipe Carvalho, Artur Silva, Andreas Klaus, Joaquim Alves da Silva, Rui M Costa
No abstract text is available yet for this article.
October 9, 2024: Nature
#18
JOURNAL ARTICLE
Andrew Pannone, Aditya Raj, Harikrishnan Ravichandran, Sarbashis Das, Ziheng Chen, Collin A Price, Mahmooda Sultana, Saptarshi Das
Ion-sensitive field-effect transistors (ISFETs) have emerged as indispensable tools in chemosensing applications1-4 . ISFETs operate by converting changes in the composition of chemical solutions into electrical signals, making them ideal for environmental monitoring5,6 , healthcare diagnostics7 and industrial process control8 . Recent advancements in ISFET technology, including functionalized multiplexed arrays and advanced data analytics, have improved their performance9,10 . Here we illustrate the advantages of incorporating machine learning algorithms to construct predictive models using the extensive datasets generated by ISFET sensors for both classification and quantification tasks...
October 9, 2024: Nature
#19
JOURNAL ARTICLE
Ferdinandos Skoulidis, Haniel A Araujo, Minh Truong Do, Yu Qian, Xin Sun, Ana Galan Cobo, John T Le, Meagan Montesion, Rachael Palmer, Nadine Jahchan, Joseph M Juan, Chengyin Min, Yi Yu, Xuewen Pan, Kathryn C Arbour, Natalie Vokes, Stephanie T Schmidt, David Molkentine, Dwight H Owen, Regan Memmott, Pradnya D Patil, Melina E Marmarelis, Mark M Awad, Joseph C Murray, Jessica A Hellyer, Justin F Gainor, Anastasios Dimou, Christine M Bestvina, Catherine A Shu, Jonathan W Riess, Collin M Blakely, Chad V Pecot, Laura Mezquita, Fabrizio Tabbó, Matthias Scheffler, Subba Digumarthy, Meghan J Mooradian, Adrian G Sacher, Sally C M Lau, Andreas N Saltos, Julia Rotow, Rocio Perez Johnson, Corinne Liu, Tyler Stewart, Sarah B Goldberg, Jonathan Killam, Zenta Walther, Kurt Schalper, Kurtis D Davies, Mark G Woodcock, Valsamo Anagnostou, Kristen A Marrone, Patrick M Forde, Biagio Ricciuti, Deepti Venkatraman, Eliezer M Van Allen, Amy L Cummings, Jonathan W Goldman, Hiram Shaish, Melanie Kier, Sharyn Katz, Charu Aggarwal, Ying Ni, Joseph T Azok, Jeremy Segal, Lauren Ritterhouse, Joel W Neal, Ludovic Lacroix, Yasir Y Elamin, Marcelo V Negrao, Xiuning Le, Vincent K Lam, Whitney E Lewis, Haley N Kemp, Brett Carter, Jack A Roth, Stephen Swisher, Richard Lee, Teng Zhou, Alissa Poteete, Yifan Kong, Tomohiro Takehara, Alvaro Guimaraes Paula, Edwin R Parra Cuentas, Carmen Behrens, Ignacio I Wistuba, Jianjun Zhang, George R Blumenschein, Carl Gay, Lauren A Byers, Don L Gibbons, Anne Tsao, J Jack Lee, Trever G Bivona, D Ross Camidge, Jhannelle E Gray, Natasha Lieghl, Benjamin Levy, Julie R Brahmer, Marina C Garassino, David R Gandara, Edward B Garon, Naiyer A Rizvi, Giorgio Vittorio Scagliotti, Jürgen Wolf, David Planchard, Benjamin Besse, Roy S Herbst, Heather A Wakelee, Nathan A Pennell, Alice T Shaw, Pasi A Jänne, David P Carbone, Matthew D Hellmann, Charles M Rudin, Lee Albacker, Helen Mann, Zhou Zhu, Zhongwu Lai, Ross Stewart, Solange Peters, Melissa L Johnson, Kwok K Wong, Alan Huang, Monte M Winslow, Michael J Rosen, Ian P Winters, Vassiliki A Papadimitrakopoulou, Tina Cascone, Philip Jewsbury, John V Heymach
For patients with advanced non-small-cell lung cancer (NSCLC), dual immune checkpoint blockade (ICB) with CTLA4 inhibitors and PD-1 or PD-L1 inhibitors (hereafter, PD-(L)1 inhibitors) is associated with higher rates of anti-tumour activity and immune-related toxicities, when compared with treatment with PD-(L)1 inhibitors alone. However, there are currently no validated biomarkers to identify which patients will benefit from dual ICB1,2 . Here we show that patients with NSCLC who have mutations in the STK11 and/or KEAP1 tumour suppressor genes derived clinical benefit from dual ICB with the PD-L1 inhibitor durvalumab and the CTLA4 inhibitor tremelimumab, but not from durvalumab alone, when added to chemotherapy in the randomized phase III POSEIDON trial3 ...
October 9, 2024: Nature
#20
JOURNAL ARTICLE
John H Wen, Ben Sorscher, Emily A Aery Jones, Surya Ganguli, Lisa M Giocomo
Animals must navigate changing environments to find food, shelter or mates. In mammals, grid cells in the medial entorhinal cortex construct a neural spatial map of the external environment1-5 . However, how grid cell firing patterns rapidly adapt to novel or changing environmental features on a timescale relevant to behaviour remains unknown. Here, by recording over 15,000 grid cells in mice navigating virtual environments, we tracked the real-time state of the grid cell network. This allowed us to observe and predict how altering environmental features influenced grid cell firing patterns on a nearly instantaneous timescale...
October 9, 2024: Nature
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