Results 221 to 230 of about 9,018,644 (408)

Association of Geriatric Nutritional Risk Index with erectile dysfunction in the elderly population. [PDF]

Transl Androl Urol
Zhu B, Xia T, Li L, Mao C, Kang L, Yin Z.   +5 more
europepmc   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

Cardiovascular risk, anthropometric indicators and reduced mini nutritional assessment: association with body mass index in the nutritional evaluation of the elderly

, 2019
Victor Batista Oliveira
openalex   +1 more source

Evaluation of genetic and metabolic predispositions and nutritional risk factors for pasture-associated laminitis in ponies [PDF]

, 2006
K. H. Treiber, D. S. Kronfeld, Tanja Hess, Bridgett M Byrd, Rebecca K. Splan, W.B. Staniar   +5 more
openalex   +1 more source

Significance of the geriatric nutritional risk index and body composition as prognostic indicators in gastric cancer patients. [PDF]

Front Oncol
Wu W, Yang W, Liu J, Wang Y, Wang Z, Zhang X.   +5 more
europepmc   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

Report of the Scientific Committee of the Spanish Agency for Food Safety and Nutrition (AESAN) in relation to the risk assessment of dietary exposure to cadmium for the Spanish population

, 2021
AESAN Scientific Committee
openalex   +1 more source

Cytokine‐Engineered Chimeric Antigen Receptor‐T Cell Therapy: How to Balance the Efficacy and Toxicity

Advanced Science, EarlyView.
Cytokine‐engineered CAR‐T cells represent a promising immunotherapy against malignancies due to direct tumor killing and potent immunity response. However, significant toxicities, including CRS and ICANS, have restricted clinical applications. How to keep the risk‐benefit balance of the advanced therapy is of great importance for maximizing the benefit
Xinru Zhang, Gulizeba Aimaiti, Yuanye Guan, Yuzhe Sha, Wei Zhou, Jiefeng Shen, Bo Zhao, Wei‐En Yuan   +7 more
wiley   +1 more source

No Association between Polymorphisms in CYP2E1, GSTM1, NAT1, NAT2 and the Risk of Gastric Adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition [PDF]

, 2006
Antonio Agudo, Núria Sala, Guillem Pera, Gabriel Capellá, Antonio Berenguer, Nadia García, Domenico Palli, Heiner Boeing, Giuseppe Del Giudice, Calogero Saieva, Fátima Carneiro, Franco Berrino, Carlotta Sacerdote, ­Rosario ­Tumino, Salvatore Panico, Göran Berglund, Henrik Simán, Roger Stenling, Göran Hallmans, Carmen Martínez‐Graciá, Pilar Amiano, Aurelio Barricarte, Carmen Navarro, J. Ramón Quirós, Naomi E. Allen, Timothy J. Key, Sheila Bingham, Kay‐Tee Khaw, Jakob Linseisen, Gabriele Nagel, Kim Overvad, Anne Tjønneland, Anja Olsen, H. Bas Bueno‐de‐Mesquita, Hendriek C. Boshuizen, Petra H. Peeters, Mattijs E. Numans, Françoise Clavel-Chapelon, Marie‐Christine Boutron‐Ruault, Antonia Trichopoulou, Eiliv Lund, Hendrik Bläker, Mazda Jenab, Pietro Ferrari, Teresa Norat, Elio Ríboli, Carlos A. González   +46 more
openalex   +1 more source

Diet quality and nutritional risk in patients with Wilson's disease: a cross-sectional study. [PDF]

Front Nutr
Lin SH, Yang ML, Zeng Y, Wu TT.
europepmc   +1 more source