Not exact matches
Based on these ex vivo experiments (in cells isolated from
patients and then exposed to PD - L1 blocking agents outside
of the body), they
predict that when actual
patients are given PD - L1 blocking agents, their viral load at the time will influence the «net»
outcome, i.e., whether the blockage boosts or weakens the overall anti-HIV immune response.
«Moving forward, we'll need to conduct additional studies
of many more
patients to show that getting functional scans in the first hours or days after a stroke could provide valuable information for
predicting outcome and tracking recovery.»
The researchers
predict that the approach described in their study will pave the way to further develop the modelling
of biomedical parameters and large - scale datasets in order to improve biological knowledge and
patient outcome.
Although self - appraisal
of overall well - being may mediate physiologic responses to surgery,
patient - reported health status has not been extensively studied among bladder cancer
patients to date, and its utility in
predicting postoperative
outcomes, such as complications, has not been previously examined.»
We identified
patients with mutations that
predict phenomenal
outcomes in the disease; this is a group
of women with endometrial cancer who won't need the financial, physical or emotional toll
of chemotherapy at all — they're
patients who are probably cured by surgery alone.
Finally, all
of this data can be combined to
predict patient outcomes including overall survival.
«Gene profiling can help
predict treatment response and could save money in RA: Future personalisation
of RA treatment may improve
patient outcomes.»
«New frailty test
predicts risk
of poor
outcomes in elderly
patients.»
«Detecting genetic associations in cases
of acute viral bronchiolitis is the first step toward the development
of tests to
predict the possible clinical
outcome for each
patient diagnosed with the disease soon after arrival at the emergency room,» said Fernando Augusto de Lima Marson, a researcher at FCM - UNICAMP and one
of the authors
of the article.
In addition to offering early evidence
of a drug's effectiveness, if depth
of response
predicts patient outcomes, then, Doebele says, depth
of response may be a useful goal
of treatment.
Calibration is the agreement between the
predicted risk and actual
outcomes on average, and across the spectrum
of predicted risk — from low to high, said Mark E. Cohen, PhD, one
of the study's authors and a statistical manager in the ACS Division
of Research and Optimal
Patient Care.
«While these observational data can not prove that treating
patients based on the results
of CTA testing will automatically result in better health
outcomes, they do provide new information enabling a more informed choice
of testing for
patients with stable chest pain, especially for
predicting future cardiovascular risk.»
Better treatments for heart failure and new ways
of predicting patient outcomes are needed, researchers concluded.
Other alterations and the presence
of particular immune targets could serve as better markers to help pathologists accurately diagnose mesothelioma and
predict which
patients will have poor or better
outcomes.
Because chronic hyperglycemia... potentially
predicts a poor therapeutic effect
of aerobic exercise on glycemic control and fitness, using exercise to treat
patients with poorly controlled T2DM may have limited chances
of a successful
outcome,» the study concludes.
«Triple - negative breast cancers tend to be more aggressive compared to other types
of breast cancers, and being able to
predict response to therapy could greatly impact treatment decisions and
patient outcomes,» says study author Shaveta Vinayak, MD, oncologist at UH Case Medical Center and Assistant Professor at Case Western Reserve University School
of Medicine.
H. Mine past
patient data to
predict future patient outcomes Predict response to standard treatments through retrospective analysis of patient spe
predict future
patient outcomes Predict response to standard treatments through retrospective analysis of patient spe
Predict response to standard treatments through retrospective analysis
of patient specimens.
Levels
of circulating tumor DNA (ctDNA)
predicted worse
outcomes including relapse and survival in
patients with resected stage II / III melanoma, according to the results
of a study published in Annals
of Oncology.
Of 21 patients who responded to a particular drug or drug combination, their xenograft mice correctly predicted the outcome 90 percent of the tim
Of 21
patients who responded to a particular drug or drug combination, their xenograft mice correctly
predicted the
outcome 90 percent
of the tim
of the time.
A gene linked to bowel cancer recurrence and shortened survival could help
predict outcomes for
patients with the gene - and take scientists a step closer to development
of personalized treatments, reveals research in the journal Gut.
The expression
of immune markers and T - cell subsets can help
predict outcomes of sentinel lymph node — positive melanoma
patients, according to a new study.
Using a rapid learning approach, the goal
of M2Gen is to accelerate the science
of precision medicine by creating evidence and knowledge - based solutions that identify a
patient's susceptibility to disease,
predict how the
patient will respond to a particular drug, and match
patients to the best therapies for an optimal treatment
outcome.
Without the benefit
of a biopsy, it can ultimately be difficult to
predict the
outcome for
patients treated with radiation alone.
At Overlawyered, Ted Frank
predicts that the obvious
outcome of this case is that «doctors will simply overwarn, and tell all
of their
patients not to drive.»
Health data analytics allows systems to create holistic views
of patients, personalise treatments, improve communication, and streamline services to save costs and
predict better health
outcomes
An important validation criterion for a diagnosis is its ability to
predict outcome and to identify
patients in need
of treatment [40].
While there are many theoretical and practical approaches to psychotherapy, research has consistently shown that regardless
of the approach, the most powerful factor in
predicting the
outcomes of therapy is the quality
of the therapeutic relationship between the psychotherapist and the
patient.
There are well - documented associations between posttraumatic stress disorder (PTSD) and intimate relationship problems, including relationship distress and aggression, 1 and studies demonstrate that the presence
of PTSD symptoms in one partner is associated with caregiver burden and psychological distress in the other partner.2 Although currently available individual psychotherapies for PTSD produce overall improvements in psychosocial functioning, these improvements are not specifically found in intimate relationship functioning.3 Moreover, it has been shown that even when
patients receive state -
of - the - art individual psychotherapy for the disorder, negative interpersonal relations
predict worse treatment
outcomes.4, 5
In support
of these results, multilevel modeling
of the
outcomes revealed the
predicted time × condition interaction for the primary
outcome of clinician - rated PTSD symptom severity (t37.5 = − 3.09; P =.004) and for
patient - reported relationship satisfaction (t68.5 = 2.00; P =.049).
It has been found to
predict treatment adherence (compliance) and
outcome across a range
of client /
patient diagnoses and treatment settings.
A study
of individual cognitive therapy for bipolar disorder showed positive
outcomes at 1 - year follow - up, but the benefits were reduced over time, suggesting the need for booster sessions to sustain the gains.19 As with many forms
of therapy, CBT has been found to be more successful in reducing relapse in the depressive pole compared with the manic pole.30 A large randomised trial
of CBT showed no difference between CBT and treatment as usual, when all participants were included in the analyses.31 However, results
of a post-hoc analysis suggested that CBT was effective for participants who reported fewer than 12 prior episodes
of illness and were not acutely unwell when therapy began; numbers
of episodes
of mania rather than depression seemed to
predict treatment response.32 Such data can help guide the clinical application
of CBT for bipolar
patients.
For example, higher levels
of depression have been shown to be predictive
of poorer treatment
outcomes for
patients with chronic pain, 11 as well as higher health care costs over time.12 Equally, the presence
of pain in people being treated for mood disturbance has
predicted delayed responses to mood interventions.13 Therefore, improving our understanding
of how chronic pain and depression are linked, and treating both components offers the prospect
of enhancing treatment effects beyond the benefits
of treating either condition alone.14