Tuesday January 21, 2020

Can Medical Cannabis Help Autistic Children?

The Council of Scientific and Industrial Research (CSIR) is doing a research on the medicinal use of cannabis for treating diseases like cancer, epilepsy and sickle cell anaemia.

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Uninsured Children, U.S.
The Council of Scientific and Industrial Research (CSIR) is doing a research on the medicinal use of cannabis for treating diseases like cancer, epilepsy and sickle cell anaemia. VOA

Cannabis treatment for teenage patients with autism is well-tolerated, safe and effective option to relieve symptoms including seizures, tics, depression, restlessness, researchers say.

The study found that after six months of treatment, 30 per cent of patients reported a significant improvement, 53.7 per cent reported moderate improvement and only 15 per cent had slight or no change.

“Overall, more than 80 per cent of the parents reported significant or moderate improvement in their child,” said co-author Lihi Bar-Lev Schleider from the Ben-Gurion University of the Negev in Israel.

Autistic Spectrum Disorder (ASD) is an extensive developmental disorder that is expressed in almost all dimensions of the child’s development.

It is now common to refer to this disorder as a wide range of Pervasive Developmental Disorders (PDD) in which there are various manifestations and symptoms.

1.4 lakh people from India participate in Haj every year. Pixabay
 Autistic Spectrum Disorder (ASD) is an extensive developmental disorder that is expressed in almost all dimensions of the child’s development  . Pixabay

For the study, published in the journal Scientific Reports, the team analysed the data prospectively collected as part of the treatment programme of 188 ASD patients treated with medical cannabis between 2015 and 2017.

The treatment in majority of the patients was based on cannabis oil containing 30 per cent cannabidiol oil (CBD) and 1.5 per cent tetrahydrocannabinol (THC).

Good quality of life was reported by 31.3 per cent of patients prior to treatment initiation. At six months, good quality of life more than doubled for 66.8 per cent.

Positive mood was reported by 42 per cent before treatment and 63.5 after six months.

Victimization in early school days leads to anxiety. Pixabay
Good quality of life was reported by 31.3 per cent of patients prior to treatment initiation. At six months, good quality of life more than doubled for 66.8 per cent. Pixabay

“While this study suggest that cannabis treatment is safe and can improve ASD symptoms and improve ASD patients’ quality of life, we believe that double blind placebo-controlled trials are crucial for a better understanding…” said co-author Victor Novack from the varsity.

Also Read:Cancer May Lead to Premature Ageing, Says Study

The Council of Scientific and Industrial Research (CSIR) is doing a research on the medicinal use of cannabis for treating diseases like cancer, epilepsy and sickle cell anaemia.

In the US, medical marijuana is legal in 30 states, though the laws governing what is permitted vary from state to state, according to the National Conference of State Legislatures.(IANS)

Next Story

Researchers Develop AI Tool To Detect Mental Health Issues

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment

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The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence (AI) and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses. Pixabay

Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors.

“Machine learning allowed us to illuminate the various clinically-meaningful dimensions of language use and vocal patterns of the patients over time and personalised at each individual level,” said Indian-origin researcher and study senior author Shri Narayanan from University of Southern California (USC) in the US.

The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses.

For the results, the researchers used the ‘MyCoachConnect’ interactive voice and mobile tool, created and hosted on the Chorus platform to provide voice diaries related to their mental health states.

SAIL team then collaborated with researchers to apply artificial intelligence to listen to hundreds of voicemails using custom software to detect changes in patients’ clinical states. According to the study, the AI was able to match clinicians’ ratings of their patients.

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment, the researchers said.

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Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors. Pixabay

This project builds on SAIL’s body of work in behavioural machine intelligence to analyse psychotherapy sessions to detect empathy of addiction counselors-in-training in order to improve their chances of better outcomes, in addition to the Lab’s work analysing language for cognitive diagnoses and legal processes.

ALSO READ: Here’s How Fitbit Smartwatch May Help You Predict Flu in Real-Time

“Our approach builds on that fundamental technique to hear what people are saying about using the modern AI. We hope this will help us better understand how our patients are doing and transform mental health care to be more personalised and proactive to what an individual needs,” said study lead author Armen Arevian. (IANS)