BacteriologyA subdivision of microbiology that involves the identification, classification, and characterisation of bacteria.
Baseline AssessmentsBaseline assessments are carried out with participants as they enter a trial and before they receive any treatment.These assessments may take the form of interviews, questionnaires, physical examinations, laboratory tests, or other procedures. Baseline assessments include demographics (such as(...)
Baseline DataBaseline data provide information about participants as they enter a trial and before they receive any treatment.Baseline data collection may take the form of interviews, questionnaires, physical examinations, laboratory tests, or other procedures. Baseline data include demographics (such as(...)
BeneficenceBeneficence is a concept in research ethics that states that researchers should have the welfare of the research participant as a goal in any clinical trial or other research study. In public health, beneficence implies acting in the best interest of the population or society as a(...)
BenefitBenefit is a positive outcome (such as the relief of symptoms, cure, or prevention) from using a treatment or taking part in a study. The benefits of taking part in research may include helping others by participating in medical research, close monitoring by health professionals and experts,(...)
Benefit-risk assessmentIn medicines R&D, benefit-risk assessment is the continuous examination of the favourable and unfavourable results of a specific treatment to determine whether its benefits outweigh its risks in a -specific condition. It takes into account the evidence on safety and efficacy, as well as other(...)
Best supportive careBest supportive care (BSC) is the treatment of choice when a cure is not achievable with existing treatments. It involves the management of disease-related symptoms.
BSCBest supportive care (BSC) is the treatment of choice when a cure is not achievable with existing treatments. It involves the management of disease-related symptoms.
BiasIn clinical trails, bias is the systematic deviation from true values of treatment effect through the intentional or unintentional adjustment of results. Bias can result from aspects of trial design, the way a trial is carried, or the way the results are analysed or evaluated.
Bias can be(...)
Big dataBig data in the health sector is the combination and analysis of very large and diverse sets of data, such as non-health and health data, ongoing generation of information about the real-world use of medicines, patient-generated data from social media, and wearable devices.
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