Search results

• New Findings Reported from Center for Artificial Intelligence Describe Advances in Bioinformatics (Mragent: an Llm-based Automated Agent for Causal Knowledge Discovery In Disease Via Mendelian Randomization)

  LI, K.

  29/04/25

  1 item of Media coverage

  Press/Media

• Unmarried people more likely to be depressed, study says

  LI, K.

  18/04/25

  1 item of Media coverage

  Press/Media

• Research Reports on Personalized Medicine from Changzhi Medical College Provide New Insights (The research progress on effective connectivity in adolescent depression based on resting-state fMRI)

  LI, K.

  26/02/25

  1 item of Media coverage

  Press/Media

• Researchers at Tianjin University of Traditional Chinese Medicine Zero in on Pharmaceutical Research (Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species)

  LI, K.

  4/02/25

  1 item of Media coverage

  Press/Media

• Loneliness is associated with almost 80% risk of depressive symptoms: a large-scale study

  LI, K.

  18/11/24

  1 item of Media coverage

  Press/Media

• Unmarried people ‘may be at greater risk of depression’

  LI, K.

  13/11/24

  1 item of Media coverage

  Press/Media

• Study Results from Tianjin University of Traditional Chinese Medicine Provide New Insights into Pharmaceutical Research (Software-aided Efficient Identification of the Components of Compound Formulae and Their Metabolites In Rats By ...)

  LI, K.

  11/11/24

  1 item of Media coverage

  Press/Media

• Better together: marriage linked to lower depression risk in new study

  LI, K.

  11/11/24

  1 item of Media coverage

  Press/Media

• The surprising Irish statistic between marital status and depression

  LI, K.

  8/11/24

  1 item of Media coverage

  Press/Media

• Are Unmarried People At A Higher Risk Of Depression? Research Says, Yes

  LI, K.

  7/11/24

  1 item of Media coverage

  Press/Media

• Why single people are 80% more likely to develop depression

  LI, K.

  7/11/24

  1 item of Media coverage

  Press/Media

• Study looks at connection between marriage and depression

  LI, K.

  7/11/24

  1 item of Media coverage

  Press/Media

• Link between relationship status and depression revealed

  LI, K.

  6/11/24

  1 item of Media coverage

  Press/Media

• Single or divorced? Beware, depression might hit you soon: Study

  LI, K.

  5/11/24

  1 item of Media coverage

  Press/Media

• Unmarried people are 80pc more likely to be depressed, says study

  LI, K.

  5/11/24

  1 item of Media coverage

  Press/Media

• Study Findings from Faculty of Applied Sciences Provide New Insights into Autism Spectrum Disorders (Causal Metabolomic and Lipidomic Analysis of Circulating Plasma Metabolites in Autism: A Comprehensive Mendelian Randomization Study with ...)

  LI, K.

  5/11/24

  1 item of Media coverage

  Press/Media

• Unmarried and those who are divorced more likely to suffer from depression: Study

  LI, K.

  5/11/24

  1 item of Media coverage

  Press/Media

• Depression risk 'is greater for the unmarried'

  LI, K.

  5/11/24

  1 item of Media coverage

  Press/Media

• Unmarried, divorcees more likely to suffer from depression: Study

  LI, K.

  5/11/24

  1 item of Media coverage

  Press/Media

• Moving in with someone cuts chances of being depressed, finds study

  LI, K.

  4/11/24

  1 item of Media coverage

  Press/Media

• Moving in with someone cuts chances of being depressed, finds study

  LI, K.

  4/11/24

  3 items of Media coverage

  Press/Media

• Living Together Linked to Lower Depression Risk, Study Finds

  LI, K.

  4/11/24

  1 item of Media coverage

  Press/Media

• Study looks at connection between marriage and depression

  LI, K.

  4/11/24

  40 items of Media coverage

  Press/Media

• Findings from Faculty of Applied Sciences Reveals New Findings on Depression (Regional Brain Structural Network Topology Mediates the Associations Between White Matter Damage and Disease Severity In First-episode, Treatment-naive Pubertal ...)

  LI, K.

  4/10/24

  1 item of Media coverage

  Press/Media

• Tianjin University of Traditional Chinese Medicine Reports Findings in Machine Learning (HerbMet: Enhancing metabolomics data analysis for accurate identification of Chinese herbal medicines using deep learning)

  LI, K.

  30/08/24

  1 item of Media coverage

  Press/Media