Publications by authors named "K M Kojima"

Nemolizumab is an effective treatment for pruritus in atopic dermatitis, but it has a relatively high incidence of cutaneous adverse events (cAEs). To optimize the use of nemolizumab, we investigated the relationship between baseline severity in specific body areas and the frequency of cAEs. Our findings revealed that cases who discontinued treatment with nemolizumab had more severe erythema and edema/papulation on the trunk than those who continued nemolizumab.

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Primary hepatic lymphoma (PHL) is a lymphoproliferative disorder confined to the liver, with no evidence of lymphomatous involvement in other organs. Here, we report a case of diffuse large B-cell lymphoma (DLBCL)-type PHL in a patient with a long history of primary biliary cholangitis (PBC) and Sjögren's syndrome (SS). A 78-year-old woman presented with epigastralgia and was found to have a solitary liver tumor by contrast-enhanced computed tomography (CT).

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This paper describes muon spin spectroscopy studies of 12-phosphatetraphene stabilized by a peri-trifluoromethyl group and a meso-aryl substituent. Even though the prepared solution in tetrahydrofuran (THF) was quite dilute (0.060 M) for transverse-field muon spin rotation (TF-µSR) measurements, the π-extended heavier congener of tetraphene presented a pair of signals due to a muoniated radical from which the muon hyperfine coupling constant (hfc) was determined.

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We developed a novel DNA aptamer, D8#24S1, which specifically recognizes mertansine (DM1), the cytotoxic payload of the antibody-drug conjugate (ADC) trastuzumab emtansine (T-DM1), and applied it for T-DM1 analysis. D8#24S1 was obtained through SELEX and was shown to specifically recognize DM1 with high affinity (dissociation constant, K = 84.2 nM).

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Background: Chronic kidney disease (CKD) causes progressive and irreversible damage to the kidneys. Renal biopsies are essential for diagnosing the etiology and prognosis of CKD, while accurate quantification of tubulo-interstitial injuries from whole slide images (WSIs) of renal biopsy specimens is challenging with visual inspection alone.

Methods: We develop a deep learning-based method named DLRS to quantify interstitial fibrosis and inflammatory cell infiltration as tubulo-interstitial injury scores, from WSIs of renal biopsy specimens.

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