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Review on Uric Acid Recognition by MOFs with a Future in Machine Learning

Publications associées (31)

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Metal-Free Molecular Catalysts for the Oxygen Reduction Reaction: Electron Affinity as an Activity Descriptor

Juliette Veronique Schleicher, Ganna Gryn'ova

Heteroatom-doped polyaromatic hydrocarbons (or nanographenes) are promising molecular electrocatalysts for the oxygen reduction reaction (ORR). Here, we use density functional theory to investigate the first step of the ORR pathway (chemisorption) for a se ...

AMER CHEMICAL SOC2023

A multi-modal pre-training transformer for universal transfer learning in metal-organic frameworks

Berend Smit, Hyunsoo Park

Metal-organic frameworks (MOFs) are a class of crystalline porous materials that exhibit a vast chemical space owing to their tunable molecular building blocks with diverse topologies. An unlimited number of MOFs can, in principle, be synthesized. Machine ...

NATURE PORTFOLIO2023

Cancer hallmarks intersect with neuroscience in the tumor microenvironment

Douglas Hanahan

The mechanisms underlying the multistep process of tumorigenesis can be distilled into a logical framework involving the acquisition of functional capabilities, the so-called hallmarks of cancer, which are collectively envisaged to be necessary for maligna ...

CELL PRESS2023

Development of a novel Chimeric Antigen Receptor (CAR) for its use in Natural Killer (NK) cells for cancer treatment and beyond

Angela Madurga Alonso

The use of CAR technologies has revolutionized cancer treatment. Their unprecedented efficacy against B cell malignancies has opened the doors for a lot of excitement and research in the field. These synthetic receptors are composed of an antigen recogniti ...

EPFL2023

What do we talk about, when we talk about single-crystal termination-dependent selectivity of Cu electrocatalysts for CO2 reduction? A data-driven retrospective

Kevin Rossi

We mine from the literature experimental data on the CO2 electrochemical reduction selectivity of Cu single crystal surfaces. We then probe the accuracy of a machine learning model trained to predict faradaic efficiencies for 11 CO2 reduction reaction prod ...

ROYAL SOC CHEMISTRY2023

Monitoring of Protein and pH Levels in Human Biofluids using FD-SOI Silicon Nanowire Arrays

Luca Capua

Medical research and technological advancements are heading towards tailored healthcare approaches that prioritize individual needs, allowing for more accurate diagnoses, more effective treatments, and better patient outcomes overall. One such approach is ...

EPFL2023

How Acid Washing Nickel Foam Substrates Improves the Efficiency of the Alkaline Hydrogen Evolution Reaction

Jan Van Herle, Suhas Nuggehalli Sampathkumar, Peter Hugh Middleton, Thomas Benjamin Ferriday

Nickel foam substrates are frequently utilised as porous 3D substrates for renewable energy applications. The preparation of these substrates usually includes an acid-washing step, but the degree to which this step affects the final electrochemical perform ...

MDPI2023

Electrolyte engineering via ether solvent fluorination for developing stable non-aqueous lithium metal batteries

Mounir Driss Mensi, Yubo Zhao

Fluorination of solvents, useful for non-aqueous lithium-based batteries, improves the electrochemical stability but decreases the ionic conductivity. Here, the authors report a targeted functionalization of an ether solvent to balance the electrolyte ioni ...

Nature Portfolio2023

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

Mary-Anne Hartley, Jonathan Dönz

BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...

BMC2023

Regulation and function of a hemicleaved Activin-A processing intermediate in melanoma

Manon Bulliard

Activin-A is a Transforming Growth Factor-B (TGFB)-related cytokine that regulates various biological processes including cell proliferation and differentiation through autocrine, paracrine or endocrine signaling. Activin-A expression is upregulated in mul ...

EPFL2023

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Cancer hallmarks intersect with neuroscience in the tumor microenvironment

Douglas Hanahan

CELL PRESS2023

Development of a novel Chimeric Antigen Receptor (CAR) for its use in Natural Killer (NK) cells for cancer treatment and beyond

Angela Madurga Alonso

EPFL2023

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

Mary-Anne Hartley, Jonathan Dönz

BMC2023

What do we talk about, when we talk about single-crystal termination-dependent selectivity of Cu electrocatalysts for CO2 reduction? A data-driven retrospective

Kevin Rossi

ROYAL SOC CHEMISTRY2023